{"id":332651,"date":"2016-12-07T23:07:24","date_gmt":"2016-12-08T07:07:24","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=332651"},"modified":"2016-12-07T23:07:24","modified_gmt":"2016-12-08T07:07:24","slug":"asia-faculty-summit-2016-machine-learning-generative-vs-discriminative","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/asia-faculty-summit-2016-machine-learning-generative-vs-discriminative\/","title":{"rendered":"Asia Faculty Summit 2016 \u2013 Machine Learning: Generative vs. Discriminative"},"content":{"rendered":"<p>Generative learning and discriminative learning are two major approaches in machine learning. The fast development of deep learning demonstrates the power of discriminative learning. In recent years, some have started to integrate generative learning into the deep learning process in order to incorporate prior knowledge. In this session, we will discuss the pros and cons of each approach and how to seamlessly integrate them together.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Generative learning and discriminative learning are two major approaches in machine learning. The fast development of deep learning demonstrates the power of discriminative learning. In recent years, some have started to integrate generative learning into the deep learning process in order to incorporate prior knowledge. In this session, we will discuss the pros and cons [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-332651","msr-video","type-msr-video","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/channel9.msdn.com\/Blogs\/Microsoft-Research-Asia\/Machine-Learning-Generative-vs-Discriminative","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/332651"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/332651\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=332651"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=332651"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=332651"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=332651"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=332651"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=332651"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}