{"id":250,"date":"2009-02-24T21:02:30","date_gmt":"2009-02-24T12:02:30","guid":{"rendered":"http:\/\/jungwonkim.com\/?p=250"},"modified":"2018-03-06T12:59:35","modified_gmt":"2018-03-06T17:59:35","slug":"byoung-tak-zhang","status":"publish","type":"post","link":"https:\/\/blog.jungwon.kim\/?p=250","title":{"rendered":"Byoung-Tak Zhang"},"content":{"rendered":"<p><strong>Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers, AAAI&#8217;09<\/strong><\/p>\n<p>Zhang developed a research platform that implements a cognitive game called multimodal memory game (MMG) to study machine learning architectures and algorithms for learning in a long-lasting, multimodal, interactive, and dynamic environment. MMG is a real challenge for current machine learning technologies. First the game is played online and the data are received in a stream. This is contrasted with machine learning situations where a fixed set of training data is given. Second, the amount of data is huge. For some machine learning algorithms, such as support vector machines, there is a limit in the number of training examples. Third, the problem involves multimodality. It is necessry to integrate multiple sources of data into a coherent knowledge. Fourth, the game involves vision and language problems. They demonstrated that a version of the MMG game can be solved by the hypernetwork learning model.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers, AAAI&#8217;09 Zhang developed a research platform that implements a cognitive game called multimodal memory game (MMG) to study machine learning architectures and algorithms for<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[18],"class_list":["post-250","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=250"}],"version-history":[{"count":1,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/250\/revisions"}],"predecessor-version":[{"id":1917,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/250\/revisions\/1917"}],"wp:attachment":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=250"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=250"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}