https://wiki.cs.hse.ru/index.php?action=history&feed=atom&title=Kolmogorov_complexity_24%2F25 2026-09-20T21:42:38Z История изменений этой страницы в вики MediaWiki 1.43.9 https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88740&oldid=prev 2024-12-25T20:48:26Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 20:48, 25 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Строка 28:</td> <td colspan="2" class="diff-lineno">Строка 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/o8GS-4fCACk 06.12] || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper] <del style="font-weight: bold; text-decoration: none;"> </del>|| || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/o8GS-4fCACk 06.12] || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper] <ins style="font-weight: bold; text-decoration: none;">(notes later) </ins>|| || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium: 17h00 room G116 (from 18h in G406).  [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium: 17h00 room G116 (from 18h in G406).  [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88739&oldid=prev 2024-12-25T20:43:44Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 20:43, 25 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Строка 28:</td> <td colspan="2" class="diff-lineno">Строка 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| <ins style="font-weight: bold; text-decoration: none;">[https://youtube.com/live/o8GS-4fCACk </ins>06.12<ins style="font-weight: bold; text-decoration: none;">] </ins>|| Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium: 17h00 room G116 (from 18h in G406).  [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium: 17h00 room G116 (from 18h in G406).  [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88584&oldid=prev 2024-12-12T17:06:42Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 17:06, 12 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l30">Строка 30:</td> <td colspan="2" class="diff-lineno">Строка 30:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || [https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium<ins style="font-weight: bold; text-decoration: none;">: 17h00 room G116 (from 18h in G406)</ins>. <ins style="font-weight: bold; text-decoration: none;"> </ins>[https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88490&oldid=prev 2024-12-06T14:01:22Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 14:01, 6 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Строка 28:</td> <td colspan="2" class="diff-lineno">Строка 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Algorithmic statistics, [https://arxiv.org/pdf/1607.08077 overview paper]  || || <ins style="font-weight: bold; text-decoration: none;">[https://www.dropbox.com/scl/fi/gap1istjpb9xe80nfu5mb/08sem.pdf?rlkey=blefd1fodq4x0zhommsnp0h6i&amp;st=rzaqhybe&amp;dl=0 sem08] </ins>||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88489&oldid=prev 2024-12-06T13:12:22Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 13:12, 6 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Строка 28:</td> <td colspan="2" class="diff-lineno">Строка 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method ||  [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 ||<del style="font-weight: bold; text-decoration: none;">Minimal sufficient </del>statistics <del style="font-weight: bold; text-decoration: none;">Minimum description length principle</del>, <del style="font-weight: bold; text-decoration: none;">application to neural net training </del>|| || ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || <ins style="font-weight: bold; text-decoration: none;">Algorithmic </ins>statistics, <ins style="font-weight: bold; text-decoration: none;">[https://arxiv.org/pdf/1607.08077 overview paper]  </ins>|| || ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88483&oldid=prev 2024-12-06T08:46:55Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 08:46, 6 декабря 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l26">Строка 26:</td> <td colspan="2" class="diff-lineno">Строка 26:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/ZegYzw8LLdI 15.11] || Prefix Kolmogorov complexity 3 definitions, upper bounds, symmetry of information. || [https://www.dropbox.com/scl/fi/zu84z1smw9m0rdns54ohr/05slides.pdf?rlkey=fakwr6sbl3fadwbydsecsz4mb&amp;st=nyuu4wmz&amp;dl=0 06sl] || [https://www.dropbox.com/scl/fi/8rrc8uluayw2qh4wfeqvv/06sem.pdf?rlkey=l44247q3j8g7kg3orvq0gv3lm&amp;st=iswydrfx&amp;dl=0 sem06] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/ZegYzw8LLdI 15.11] || Prefix Kolmogorov complexity 3 definitions, upper bounds, symmetry of information. || [https://www.dropbox.com/scl/fi/zu84z1smw9m0rdns54ohr/05slides.pdf?rlkey=fakwr6sbl3fadwbydsecsz4mb&amp;st=nyuu4wmz&amp;dl=0 06sl] || [https://www.dropbox.com/scl/fi/8rrc8uluayw2qh4wfeqvv/06sem.pdf?rlkey=l44247q3j8g7kg3orvq0gv3lm&amp;st=iswydrfx&amp;dl=0 sem06] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method || || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method || <ins style="font-weight: bold; text-decoration: none;"> [https://www.dropbox.com/scl/fi/07vwgskncnceo5gnl3g1m/07slides.pdf?rlkey=7yuluul6anwd7vpm72tagpqek&amp;st=nscvj3g3&amp;dl=0 07sl] </ins>|| [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 ||Minimal sufficient statistics Minimum description length principle, application to neural net training || || ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 ||Minimal sufficient statistics Minimum description length principle, application to neural net training || || ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88345&oldid=prev 2024-11-29T15:15:06Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 15:15, 29 ноября 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Строка 28:</td> <td colspan="2" class="diff-lineno">Строка 28:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method || || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/Uh-hXNLegRw 22.11] || Information distance, clustering by compression, google distance. Seminar: incompressibility method || || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| <del style="font-weight: bold; text-decoration: none;">29</del>.<del style="font-weight: bold; text-decoration: none;">11 </del>|| Minimal sufficient statistics <del style="font-weight: bold; text-decoration: none;">|| || ||</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| <ins style="font-weight: bold; text-decoration: none;">06</ins>.<ins style="font-weight: bold; text-decoration: none;">12 </ins>||Minimal sufficient statistics Minimum description length principle, application to neural net training || || ||</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">|-</del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">|| 06.12 || </del>Minimum description length principle, application to neural net training || || ||</div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium. [https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88222&oldid=prev 2024-11-23T19:10:10Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 19:10, 23 ноября 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l32">Строка 32:</td> <td colspan="2" class="diff-lineno">Строка 32:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Minimum description length principle, application to neural net training || || ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Minimum description length principle, application to neural net training || || ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium <del style="font-weight: bold; text-decoration: none;">(?) </del>[https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium<ins style="font-weight: bold; text-decoration: none;">. </ins>[https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules]. || ||  ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88221&oldid=prev 2024-11-23T19:09:18Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 19:09, 23 ноября 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l26">Строка 26:</td> <td colspan="2" class="diff-lineno">Строка 26:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/ZegYzw8LLdI 15.11] || Prefix Kolmogorov complexity 3 definitions, upper bounds, symmetry of information. || [https://www.dropbox.com/scl/fi/zu84z1smw9m0rdns54ohr/05slides.pdf?rlkey=fakwr6sbl3fadwbydsecsz4mb&amp;st=nyuu4wmz&amp;dl=0 06sl] || [https://www.dropbox.com/scl/fi/8rrc8uluayw2qh4wfeqvv/06sem.pdf?rlkey=l44247q3j8g7kg3orvq0gv3lm&amp;st=iswydrfx&amp;dl=0 sem06] ||  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| [https://youtube.com/live/ZegYzw8LLdI 15.11] || Prefix Kolmogorov complexity 3 definitions, upper bounds, symmetry of information. || [https://www.dropbox.com/scl/fi/zu84z1smw9m0rdns54ohr/05slides.pdf?rlkey=fakwr6sbl3fadwbydsecsz4mb&amp;st=nyuu4wmz&amp;dl=0 06sl] || [https://www.dropbox.com/scl/fi/8rrc8uluayw2qh4wfeqvv/06sem.pdf?rlkey=l44247q3j8g7kg3orvq0gv3lm&amp;st=iswydrfx&amp;dl=0 sem06] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 22.11 || Information distance, clustering by compression, google distance. Seminar: incompressibility method || || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| <ins style="font-weight: bold; text-decoration: none;">[https://youtube.com/live/Uh-hXNLegRw </ins>22.11<ins style="font-weight: bold; text-decoration: none;">] </ins>|| Information distance, clustering by compression, google distance. Seminar: incompressibility method || || [https://www.dropbox.com/scl/fi/m0tzh6qocbxtr4rz3ai5x/07sem.pdf?rlkey=iy7glkqwkbciax7n5ttdfkmo0&amp;st=n8ezmv8o&amp;dl=0 sem07] ||  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 29.11 || Minimal sufficient statistics || || ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 29.11 || Minimal sufficient statistics || || ||</div></td></tr> <!-- diff cache key wiki_cs:diff:1.41:old-88220:rev-88221:php=table --> </table>

Bauwens https://wiki.cs.hse.ru/index.php?title=Kolmogorov_complexity_24/25&diff=88220&oldid=prev 2024-11-23T19:07:23Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 19:07, 23 ноября 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l32">Строка 32:</td> <td colspan="2" class="diff-lineno">Строка 32:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Minimum description length principle, application to neural net training || || ||</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|| 06.12 || Minimum description length principle, application to neural net training || || ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-  </div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium [<del style="font-weight: bold; text-decoration: none;">questions will be here before Monday</del>] || ||  ||</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|| 13.12 || Colloquium <ins style="font-weight: bold; text-decoration: none;">(?) </ins>[<ins style="font-weight: bold; text-decoration: none;">https://www.dropbox.com/scl/fi/9pc3gsvprmwzuynxauis0/col.pdf?rlkey=rbyhl3ydyhfqjxrpmb1yyy5dg&amp;st=vo7x6nwr&amp;dl=0 Questions and rules</ins>]<ins style="font-weight: bold; text-decoration: none;">. </ins>|| ||  ||</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>  |}</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> </table>

Bauwens