Machine Learning/Timeline - Revision history

https://wiki.thalesians.com/index.php?action=history&feed=atom&title=Machine_Learning%2FTimeline Machine Learning/Timeline - Revision history 2026-06-01T19:52:17Z Revision history for this page on the wiki MediaWiki 1.37.1 https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=729&oldid=prev Admin at 12:49, 23 December 2021 2021-12-23T12:49:00Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 12:49, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l15">Line 15:</td> <td colspan="2" class="diff-lineno">Line 15:</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>| 1980s || Rediscovery of backpropagation causes a resurgence in machine learning research.</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>| 1980s || Rediscovery of backpropagation causes a resurgence in machine learning research.</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>| 1990s || Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions or "learn" from the results.<ref name="marr-2016">Marr, B. A Short History of Machine Learning<del style="font-weight: bold; text-decoration: none;">---</del>Every Manager Should Read. '''2016'''. URL: https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/</ref> Support-vector machines (SVMs) and recurrent neural networks (RNNs) become popular.<ref name="siegelmann-1995">Siegelmann, H. T. &amp; Sontag, E. D. On the Computational Power of Neural Nets. ''Journal of Computer and System Sciences, Elsevier BV'', '''1995''', 50, 132-150</ref> The fields of computational complexity via neural networks and super-Turing computation started.<ref name="siegelmann-1995">Siegelmann, H. T. Computation Beyond the Turing Limit. ''Science, American Association for the Advancement of Science (AAAS)'', '''1995''', 268, 545-548</ref></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>| 1990s || Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions or "learn" from the results.<ref name="marr-2016">Marr, B. A Short History of Machine Learning<ins style="font-weight: bold; text-decoration: none;">&mdash;</ins>Every Manager Should Read. '''2016'''. URL: https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/</ref> Support-vector machines (SVMs) and recurrent neural networks (RNNs) become popular.<ref name="siegelmann-1995">Siegelmann, H. T. &amp; Sontag, E. D. On the Computational Power of Neural Nets. ''Journal of Computer and System Sciences, Elsevier BV'', '''1995''', 50, 132-150</ref> The fields of computational complexity via neural networks and super-Turing computation started.<ref name="siegelmann-1995<ins style="font-weight: bold; text-decoration: none;">-1</ins>">Siegelmann, H. T. Computation Beyond the Turing Limit. ''Science, American Association for the Advancement of Science (AAAS)'', '''1995''', 268, 545-548</ref></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>| 2000s || Support-Vector Clustering<ref name="benhur-2002">Ben-Hur, A.; Horn, D.; Siegelmann, H. T. &amp; Vapnik, V. Support vector clustering. ''The Journal of Machine Learning Research'', '''2002''', 2, 125-137</ref> and other kernel methods<ref name="hofmann-2008">Hofmann, T.; Schölkopf, B. &amp; Smola, A. J. Kernel methods in machine learning. ''The Annals of Statistics, Institute of Mathematical Statistics'', '''2008''', ''36''</ref> and unsupervised machine learning methods become widespread.<ref name="bennett-2007">Bennett, J. &amp; Lanning, S. The Netflix Prize. ''Proceedings of KDD Cup and Workshop 2007'', 2007</ref></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>| 2000s || Support-Vector Clustering<ref name="benhur-2002">Ben-Hur, A.; Horn, D.; Siegelmann, H. T. &amp; Vapnik, V. Support vector clustering. ''The Journal of Machine Learning Research'', '''2002''', 2, 125-137</ref> and other kernel methods<ref name="hofmann-2008">Hofmann, T.; Schölkopf, B. &amp; Smola, A. J. Kernel methods in machine learning. ''The Annals of Statistics, Institute of Mathematical Statistics'', '''2008''', ''36''</ref> and unsupervised machine learning methods become widespread.<ref name="bennett-2007">Bennett, J. &amp; Lanning, S. The Netflix Prize. ''Proceedings of KDD Cup and Workshop 2007'', 2007</ref></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>| 2010s || <del style="font-weight: bold; text-decoration: none;">[[</del>Deep learning<del style="font-weight: bold; text-decoration: none;">]] </del>becomes feasible, which leads to machine learning becoming integral to many widely used software services and applications.</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>| 2010s || Deep learning becomes feasible, which leads to machine learning becoming integral to many widely used software services and applications.</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>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=728&oldid=prev Admin at 12:48, 23 December 2021 2021-12-23T12:48:01Z

<p></p> <a href="https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=728&oldid=727">Show changes</a>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=727&oldid=prev Admin at 12:17, 23 December 2021 2021-12-23T12:17:20Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 12:17, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l9">Line 9:</td> <td colspan="2" class="diff-lineno">Line 9:</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>| 1950s || Pioneering machine learning research is conducted using simple algorithms.</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>| 1950s || Pioneering machine learning research is conducted using simple algorithms.</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>| 1960s || Bayesian methods are introduced for probabilistic inference in machine learning.<ref>Solomonoff, <del style="font-weight: bold; text-decoration: none;">Ray </del>J. <del style="font-weight: bold; text-decoration: none;">"</del>A formal theory of inductive inference. Part II.<del style="font-weight: bold; text-decoration: none;">" </del>Information and <del style="font-weight: bold; text-decoration: none;">control </del>7<del style="font-weight: bold; text-decoration: none;">.2 (1964): 224–254.</del></ref></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>| 1960s || Bayesian methods are introduced for probabilistic inference in machine learning.<ref>Solomonoff, <ins style="font-weight: bold; text-decoration: none;">R. </ins>J. A formal theory of inductive inference. Part II. <ins style="font-weight: bold; text-decoration: none;">''</ins>Information and <ins style="font-weight: bold; text-decoration: none;">Control, Elsevier BV'', '''1964''', </ins>7<ins style="font-weight: bold; text-decoration: none;">, 224-254</ins></ref></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>| 1970s || 'AI Winter' caused by pessimism about machine learning effectiveness.</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>| 1970s || 'AI Winter' caused by pessimism about machine learning effectiveness.</div></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=711&oldid=prev Admin at 08:46, 23 December 2021 2021-12-23T08:46:13Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:46, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l7">Line 7:</td> <td colspan="2" class="diff-lineno">Line 7:</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>| <1950s|| Statistical methods are discovered and refined.</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>| <1950s|| Statistical methods are discovered and refined.</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>| 1950s || Pioneering <del style="font-weight: bold; text-decoration: none;">[[</del>machine learning<del style="font-weight: bold; text-decoration: none;">]] </del>research is conducted using simple algorithms.</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>| 1950s || Pioneering machine learning research is conducted using simple algorithms.</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>| 1960s || <del style="font-weight: bold; text-decoration: none;">[[</del>Bayesian <del style="font-weight: bold; text-decoration: none;">method]]s </del>are introduced for <del style="font-weight: bold; text-decoration: none;">[[Bayesian inference|</del>probabilistic inference<del style="font-weight: bold; text-decoration: none;">]] </del>in machine learning.<ref>Solomonoff, Ray J. "A formal theory of inductive inference. Part II." Information and control 7.2 (1964): 224–254.</ref></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>| 1960s || Bayesian <ins style="font-weight: bold; text-decoration: none;">methods </ins>are introduced for probabilistic inference in machine learning.<ref>Solomonoff, Ray J. "A formal theory of inductive inference. Part II." Information and control 7.2 (1964): 224–254.</ref></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>| 1970s || '<del style="font-weight: bold; text-decoration: none;">[[</del>AI Winter<del style="font-weight: bold; text-decoration: none;">]]</del>' caused by pessimism about machine learning effectiveness.</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>| 1970s || 'AI Winter' caused by pessimism about machine learning effectiveness.</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>| 1980s || Rediscovery of <del style="font-weight: bold; text-decoration: none;">[[</del>backpropagation<del style="font-weight: bold; text-decoration: none;">]] </del>causes a resurgence in machine learning research.</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>| 1980s || Rediscovery of backpropagation causes a resurgence in machine learning research.</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>| 1990s || Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions<del style="font-weight: bold; text-decoration: none;">{{snd}} </del>or "learn"<del style="font-weight: bold; text-decoration: none;">{{snd}} </del>from the results.<ref name="Marr">{{cite news|last1=Marr|first1=Bernard|title=A Short History of Machine Learning – Every Manager Should Read|url=https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/#2a1a75f9323f|work=Forbes|accessdate=28 Sep 2016}}</ref> [[Support-vector machine]]s (SVMs) and [[recurrent neural network]]s (RNNs) become popular.<ref>{{cite journal|last1=Siegelmann|first1=Hava|first2=Eduardo|last2=Sontag|title=Computational Power of Neural Networks |journal=Journal of Computer and System Sciences|volume=50|issue=1|year=1995 |pages=132–150|doi=10.1006/jcss.1995.1013|doi-access=free}}</ref> The fields of computational complexity via neural networks and super-Turing computation started.<ref>{{cite journal |last1=Siegelmann |first1=Hava |title=Computation Beyond the Turing Limit |journal=Journal of Computer and System Sciences |volume=238 |issue=28 |year=1995 |pages=632–637|doi=10.1126/science.268.5210.545 |pmid=17756722 |bibcode=1995Sci...268..545S |s2cid=17495161 }}</ref></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>| 1990s || Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions or "learn" from the results.<ref name="Marr">{{cite news|last1=Marr|first1=Bernard|title=A Short History of Machine Learning – Every Manager Should Read|url=https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/#2a1a75f9323f|work=Forbes|accessdate=28 Sep 2016}}</ref> [[Support-vector machine]]s (SVMs) and [[recurrent neural network]]s (RNNs) become popular.<ref>{{cite journal|last1=Siegelmann|first1=Hava|first2=Eduardo|last2=Sontag|title=Computational Power of Neural Networks |journal=Journal of Computer and System Sciences|volume=50|issue=1|year=1995 |pages=132–150|doi=10.1006/jcss.1995.1013|doi-access=free}}</ref> The fields of computational complexity via neural networks and super-Turing computation started.<ref>{{cite journal |last1=Siegelmann |first1=Hava |title=Computation Beyond the Turing Limit |journal=Journal of Computer and System Sciences |volume=238 |issue=28 |year=1995 |pages=632–637|doi=10.1126/science.268.5210.545 |pmid=17756722 |bibcode=1995Sci...268..545S |s2cid=17495161 }}</ref></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>| 2000s || Support-Vector Clustering<ref>{{cite journal |first1=Asa |last1=Ben-Hur |first2=David |last2=Horn |first3=Hava |last3=Siegelmann |first4=Vladimir|last4=Vapnik |title=Support vector clustering |journal=Journal of Machine Learning Research|volume=2 |year=2001 |pages=51–86}}</ref> and other [[kernel method]]s<ref>{{cite journal |last1=Hofmann |first1=Thomas |first2=Bernhard |last2=Schölkopf |first3=Alexander J. |last3=Smola |title=Kernel methods in machine learning |journal=The Annals of Statistics |volume=36 |issue=3 |year=2008 |pages=1171–1220 |jstor=25464664 |doi=10.1214/009053607000000677|doi-access=free }}</ref> and unsupervised machine learning methods become widespread.<ref>{{cite journal |first1=James |last1=Bennett |first2=Stan |last2=Lanning |title=The netflix prize |journal=Proceedings of KDD Cup and Workshop 2007 |date=2007 |url=https://www.cs.uic.edu/~liub/KDD-cup-2007/NetflixPrize-description.pdf}}</ref> </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>| 2000s || Support-Vector Clustering<ref>{{cite journal |first1=Asa |last1=Ben-Hur |first2=David |last2=Horn |first3=Hava |last3=Siegelmann |first4=Vladimir|last4=Vapnik |title=Support vector clustering |journal=Journal of Machine Learning Research|volume=2 |year=2001 |pages=51–86}}</ref> and other [[kernel method]]s<ref>{{cite journal |last1=Hofmann |first1=Thomas |first2=Bernhard |last2=Schölkopf |first3=Alexander J. |last3=Smola |title=Kernel methods in machine learning |journal=The Annals of Statistics |volume=36 |issue=3 |year=2008 |pages=1171–1220 |jstor=25464664 |doi=10.1214/009053607000000677|doi-access=free }}</ref> and unsupervised machine learning methods become widespread.<ref>{{cite journal |first1=James |last1=Bennett |first2=Stan |last2=Lanning |title=The netflix prize |journal=Proceedings of KDD Cup and Workshop 2007 |date=2007 |url=https://www.cs.uic.edu/~liub/KDD-cup-2007/NetflixPrize-description.pdf}}</ref> </div></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=710&oldid=prev Admin at 08:44, 23 December 2021 2021-12-23T08:44:09Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:44, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l135">Line 135:</td> <td colspan="2" class="diff-lineno">Line 135:</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> <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>=References=</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>=References=</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;">{{Reflist|30em}}</del></div></td><td colspan="2" class="diff-side-added"></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=706&oldid=prev Admin at 08:39, 23 December 2021 2021-12-23T08:39:43Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:39, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l135">Line 135:</td> <td colspan="2" class="diff-lineno">Line 135:</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> <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>=References=</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>=References=</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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;">{{Reflist|30em}}</ins></div></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=705&oldid=prev Admin at 08:39, 23 December 2021 2021-12-23T08:39:03Z

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Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=704&oldid=prev Admin at 08:36, 23 December 2021 2021-12-23T08:36:39Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:36, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l14">Line 14:</td> <td colspan="2" class="diff-lineno">Line 14:</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> <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>=References<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>=References=</div></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=703&oldid=prev Admin at 08:36, 23 December 2021 2021-12-23T08:36:28Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:36, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l15">Line 15:</td> <td colspan="2" class="diff-lineno">Line 15:</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> <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>==References==</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>==References==</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;">{{Reflist|30em}}</del></div></td><td colspan="2" class="diff-side-added"></td></tr>  </table>

Admin https://wiki.thalesians.com/index.php?title=Machine_Learning/Timeline&diff=702&oldid=prev Admin at 08:36, 23 December 2021 2021-12-23T08:36:09Z

<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="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:36, 23 December 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l13">Line 13:</td> <td colspan="2" class="diff-lineno">Line 13:</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>| 1980s || Rediscovery of [[backpropagation]] causes a resurgence in machine learning research.</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>| 1980s || Rediscovery of [[backpropagation]] causes a resurgence in machine learning research.</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 colspan="2" class="diff-side-deleted"></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;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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;">==References==</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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;">{{Reflist|30em}}</ins></div></td></tr>  </table>

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