{"id":5348,"date":"2021-10-25T15:10:36","date_gmt":"2021-10-25T06:10:36","guid":{"rendered":"http:\/\/www-dsc.naist.jp\/dsc_naist\/?p=5348"},"modified":"2024-04-15T16:26:57","modified_gmt":"2024-04-15T07:26:57","slug":"data-science-special-lecture-3-2021","status":"publish","type":"post","link":"http:\/\/www-dsc.naist.jp\/dsc_naist\/en\/data-science-special-lecture-3-2021\/","title":{"rendered":"Data Science Special Lecture-3\uff082021\uff09"},"content":{"rendered":"<p>Date &amp; Time: Monday, 25 October 15:10-16:40<br \/>\nPlace: AI,Inc. Seminar Hall[L1] (IS) or Webex<br \/>\nLanguage: Japanese<\/p>\n<p>Lecturer: Associate Prof. Daichi MOCHIHASHI (The Institute of Statistical Mathematics)<\/p>\n<p>Title: &#8220;Gaussian processes in Natural Language Processing and Robotics&#8221;<\/p>\n<p>Abstract:<br \/>\nGaussian process is a stochastic process for nonlinear regression based on Bayesian estimation and kernel methods, and serves as a crucial foundation for theoretical analysis of neural networks. Gaussian process has been widely employed lately on many disciplines because it offers a flexible and versatile toolbox for time series or spatial data.<br \/>\nThis lecture introduces Gaussian process based on a textbook by the presenter and describes our recent collaborations between robotics and natural language processing.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Date &amp; Time: Monday, 25 October 15:10-16:40 Place: AI,Inc. Seminar Hall[L1] (IS) or Webex Language: Japanese Lecturer: Associate Prof. Daichi MOCHIHASHI (The Institute of Statistical Mathematics) Title: &#8220;Gaussian processes in Natural Language Processing and Robotics&#8221; Abstract: Gaussian process is a stochastic process for nonlinear regression based on Bayesian estimation and kernel methods, and serves as [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_locale":"en_US","_original_post":"http:\/\/www-dsc.naist.jp\/dsc_naist\/?p=5345","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"event_taxonomy":[14,23],"acf":[],"_links":{"self":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/5348"}],"collection":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/comments?post=5348"}],"version-history":[{"count":1,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/5348\/revisions"}],"predecessor-version":[{"id":5349,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/5348\/revisions\/5349"}],"wp:attachment":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/media?parent=5348"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/categories?post=5348"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/tags?post=5348"},{"taxonomy":"event_taxonomy","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/event_taxonomy?post=5348"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}