{"id":160,"date":"2018-01-18T16:45:40","date_gmt":"2018-01-18T15:45:40","guid":{"rendered":"https:\/\/project.inria.fr\/rescom2018\/?page_id=160"},"modified":"2018-09-06T13:55:08","modified_gmt":"2018-09-06T11:55:08","slug":"theorie-du-machine-learning","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/rescom2018\/programme\/theorie-du-machine-learning\/","title":{"rendered":"Machine Learning on networks"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignright size-full wp-image-384\" src=\"https:\/\/project.inria.fr\/rescom2018\/files\/2018\/03\/tina.png\" width=\"180\" \/><\/p>\n<h3>Intervenant : <a href=\"https:\/\/www.ccis.northeastern.edu\/people\/tina-eliassi-rad\/\">Tina Eliassi-Rad<\/a><\/h3>\n<p>Tina Eliassi-Rad is an Associate Professor of Computer Science at Northeastern University. She is also on the faculty of the Network Science Institute. Prior to joining Northeastern, Professor Eliassi-Rad was an associate professor of computer science at Rutgers University; and before that a member of technical staff and principal investigator at Lawrence Livermore National Laboratory. She earned her PhD in Computer Sciences (with a minor in mathematical statistics) at the University of Wisconsin-Madison. Her research is rooted in data mining and machine learning; and spans theory, algorithms, and applications of massive data from networked representations of physical and social phenomena. Professor Eliassi-Rad\u2019s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, and cyber situational awareness. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2010, she received an Outstanding Mentor Award from the US DOE Office of Science.<\/p>\n<h4>D\u00e9tail du cours<\/h4>\n<p><b>Lecture 1:\u00a0<\/b><b>supervised and semi-supervied learning in networks<\/b>.<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<ul>\n<li>relational dependency<\/li>\n<li>collective classification network sampling.<\/li>\n<\/ul>\n<p><b>Lecture 2:\u00a0unsupervised learning in networks<\/b>.<\/p>\n<ul>\n<li>community discovery<\/li>\n<li>role discovery<\/li>\n<li>graph representation learning<\/li>\n<li>anomaly detection.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Intervenant : Tina Eliassi-Rad Tina Eliassi-Rad is an Associate Professor of Computer Science at Northeastern University. She is also on the faculty of the Network Science Institute. Prior to joining Northeastern, Professor Eliassi-Rad was an associate professor of computer science at Rutgers University; and before that a member of technical\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/rescom2018\/programme\/theorie-du-machine-learning\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":659,"featured_media":272,"parent":140,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-160","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/users\/659"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/comments?post=160"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/160\/revisions"}],"predecessor-version":[{"id":352,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/160\/revisions\/352"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/pages\/140"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/media\/272"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/rescom2018\/wp-json\/wp\/v2\/media?parent=160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}