{"598403":{"#nid":"598403","#data":{"type":"event","title":"PhD Propsal by Matthew Guzdial","body":[{"value":"\u003Cp\u003ETitle: Combinatorial Machine Learning Creativity\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMatthew Guzdial\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. Student\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate: Tuesday, November 14 2017\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 3:00 - 5:00PM (EDT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocation: TSRB 222\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommittee:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mark Riedl (Advisor, School of Interactive Computing, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Ashok Goel (School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Charles Isbell (School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Brian Magerko (School of Literature, Media, Communication, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Devi Parikh (School of Interactive Computing, Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Michael Mateas (Computational Media Department, University of California, Santa Cruz)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe propose the application of techniques from the field of creativity research to machine learned models. The techniques in question are combinatorial creativity techniques, defined as techniques that combine two sets of input to create novel output sets. In this way combinatorial machine learning creativity can produce new ML models without any training data. We present combinatorial machine learning creativity applied in the domain of video games and propose future applications in other domains.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Combinatorial Machine Learning Creativity"}],"uid":"27707","created_gmt":"2017-11-06 17:13:23","changed_gmt":"2017-11-06 17:13:23","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2017-11-14T15:00:00-05:00","event_time_end":"2017-11-14T17:00:00-05:00","event_time_end_last":"2017-11-14T17:00:00-05:00","gmt_time_start":"2017-11-14 20:00:00","gmt_time_end":"2017-11-14 22:00:00","gmt_time_end_last":"2017-11-14 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}