{"id":1445,"date":"2020-11-13T16:32:42","date_gmt":"2020-11-13T07:32:42","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/cds\/?p=1445"},"modified":"2020-12-04T15:51:40","modified_gmt":"2020-12-04T06:51:40","slug":"%e3%80%9011-7%e3%80%91waseda-university-academia-sinica-data-science-workshop-3","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/cds\/news\/1445","title":{"rendered":"\u301012\/12\u3011 Waseda University &#8211; Academia Sinica Data Science Workshop"},"content":{"rendered":"<p>We are pleased to invite you to the online Data Science Workshop! We will offer lectures from world-class statisticians and experts in information theory. Each lecture has a tutorial and an advanced portion. Two Data Science students will present on their research as well. Everyone interested in Statistics or Data Science is welcome to join us virtually. The presentation materials will be available online 1 week in advance. We are delighted to have your questions! We look forward to extending you a warm welcome!<\/p>\n<p>\u4e16\u754c\u30c8\u30c3\u30d7\u30ec\u30d9\u30eb\u306e\u7d71\u8a08\u5b66\u8005\u3068\u60c5\u5831\u7406\u8ad6\u306e\u5c02\u9580\u5bb6\u306b\u3088\u308b\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u3092\u3001\u30aa\u30f3\u30e9\u30a4\u306b\u3066\u958b\u50ac\u3044\u305f\u3057\u307e\u3059\u3002\u5404\u8b1b\u7fa9\u304c\u3001\u521d\u5fc3\u8005\u5411\u3051\uff5e\u4e0a\u7d1a\u8005\u5411\u3051\u306e\u5185\u5bb9\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u30c7\u30fc\u30bf\u79d1\u5b66\u5206\u91ce\u306e\u5b66\u751f\u306e\u7814\u7a76\u767a\u8868\u3082\u884c\u3044\u307e\u3059\u3002\u3069\u306a\u305f\u3067\u3082\u5927\u6b53\u8fce\u3067\u3059\u306e\u3067\u3001\u305c\u3072\u3053\u306e\u6a5f\u4f1a\u306b\u30c7\u30fc\u30bf\u79d1\u5b66\u3092\u5b66\u3093\u3067\u307f\u307e\u305b\u3093\u304b\u3002\u304a\u7533\u8fbc\u307f\u3044\u305f\u3060\u3044\u305f\u65b9\u306b\u306f\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u306e\u7d041\u9031\u9593\u524d\u304b\u3089\u8cc7\u6599\u3092\u516c\u958b\u3057\u307e\u3059\u306e\u3067\u3001\u4e8b\u524d\u306b\u3054\u78ba\u8a8d\u3044\u305f\u3060\u304d\u3001\u3054\u8cea\u554f\u304c\u3054\u3056\u3044\u307e\u3057\u305f\u3089\u305c\u3072\u5f53\u65e5\u304a\u805e\u304b\u305b\u304f\u3060\u3055\u3044\u3002\u7686\u69d8\u306e\u3054\u53c2\u52a0\u3092\u304a\u5f85\u3061\u3057\u3066\u304a\u308a\u307e\u3059\u3002<\/p>\n<h3>Day\u3000Dec.12, 2020<\/h3>\n<h3>Time\u3000<strong>13:00-17:35 (JST)<br \/>\n<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p><strong>Flyer:\u00a0<a href=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/AcademiaSinicaWS_1117.pdf\" target=\"_blank\" rel=\"noopener\">https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/AcademiaSinicaWS_1117.pdf<\/a><\/strong><\/p>\n<p>&nbsp;<\/p>\n<h4>Program<\/h4>\n<p>[Moderators]<br \/>\n\u30fbAssociate Professor Xiaoling Dou (Center for Data Science, Waseda University)<br \/>\n\u30fbResearch Fellow Su-Yun Huang (Institute of Statistical Science, Academia Sinica)<\/p>\n<p><span style=\"text-decoration: underline;\">13:00-13:05\u3000Opening Remarks<\/span><br \/>\nDirector Chun-houh Chen (Institute of Statistical Science, Academia Sinica)<\/p>\n<p><span style=\"text-decoration: underline;\">13:05-14:15\u3000<a href=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/SessionI.pdf\" target=\"_blank\" rel=\"noopener\">Session I<\/a><br \/>\n<\/span><strong>Computational EEG Analysis for Characterizing Cognitive Activity: Methods and Applications<\/strong><br \/>\nDr. Chih-Hsin Tsai (Academia Sinica)<br \/>\n<strong>An Attention Algorithm for Solving Large Scale Structured L_0-norm Penalty Estimation Problems<\/strong><br \/>\nDr. Tso-Jung Yen (Academia Sinica)<\/p>\n<p><span style=\"text-decoration: underline;\">14:20-15:30\u3000<a href=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/SessionII-.pdf\" target=\"_blank\" rel=\"noopener\">Session II<\/a><\/span><br \/>\n<strong>Bayes Optimal Estimation of Intervention Effects and its Approximation<\/strong><br \/>\nAssociate Professor\u00a0Shunsuke Horii (Waseda University)<br \/>\n<strong>Statistical Models for Image Processing: Hierarchical Representation of Global and Local Structures of Images<\/strong><br \/>\nAssistant Professor Yuta Nakahara (Waseda University)<\/p>\n<p><span style=\"text-decoration: underline;\">15:35-16:45\u3000<a href=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/SessionIII.pdf\" target=\"_blank\" rel=\"noopener\">Session III<\/a><\/span><br \/>\n<strong>Nonparametric Variable Selection via Sufficient Dimension Reduction for Cross-sectional Survival Data Without Follow-up<\/strong><br \/>\nDr. Ming-Yueh Huang (Academia Sinica)<br \/>\n<strong>Dimension Reduction Method for Noisy High-dimensional Images and Application to Cryogenic Electron Microscopy<\/strong><br \/>\nDr. Szu-Chi Chung (Academia Sinica)<\/p>\n<p><span style=\"text-decoration: underline;\">16:50-17:30\u3000<a href=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2020\/11\/SessionIV.pdf\" target=\"_blank\" rel=\"noopener\"><strong>Session IV (Student Session)<\/strong><\/a><br \/>\n<\/span><strong>A Proposal of Improved Latent LSTM Allocation Model to Learn Browsing History Data of Flower EC Site<\/strong><br \/>\nMs. Zhiying Zhang (Waseda University)<br \/>\n<strong>Construction of Demand Forecast Model of Tokyo Taxi Based on Probe Data Analysis<\/strong><br \/>\nMr. Reo Iizuka (Waseda University)<\/p>\n<p><span style=\"text-decoration: underline;\">17:30-17:35\u3000Closing Remarks<\/span><br \/>\nDirector Toshiyasu Matsushima (Center for Data Science, Waseda University)<\/p>\n<p>&nbsp;<\/p>\n<h4>Registration<\/h4>\n<ul>\n<li>For registration, visit <a href=\"https:\/\/bit.ly\/2IlkP93\" target=\"_blank\" rel=\"noopener\">https:\/\/bit.ly\/2IlkP93<\/a><\/li>\n<li>Deadline is 12:00 on Dec. 11 (JST)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h4>Inquiries<\/h4>\n<p>Center for Data Science, Waseda University<br \/>\n\u65e9\u7a32\u7530\u5927\u5b66\u30c7\u30fc\u30bf\u79d1\u5b66\u30bb\u30f3\u30bf\u30fc<br \/>\nE-mail: cds-info@list.waseda.jp<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are pleased to invite you to the online Data Science Workshop! We will offer lectures from world-class stat [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1477,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[95,1],"tags":[73,110,112,28],"class_list":["post-1445","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","category-news","tag-research-en","tag-symposium-en","tag-symposium","tag-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1445","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/comments?post=1445"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1445\/revisions"}],"predecessor-version":[{"id":1491,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1445\/revisions\/1491"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/media\/1477"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/media?parent=1445"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/categories?post=1445"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/tags?post=1445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}