Multi-view machines

WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2016, Pages 427-436

  Cao, Bokai ^a   Zhou, Hucheng ^b   Li, Guoqiang ^c   Yu, Philip S ^a,d  

^a University of Illinois   (United States)

^b MICROSOFT RESEARCH   (United States)

^c HUAWEI TECHNOLOGIES CO LTD   (China)

^d TSINGHUA UNIVERSITY   (China)

Author keywords

Factorization; Feature interaction; Multi view learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMUNICATION CHANNELS (INFORMATION THEORY); DATA MINING; FACTORIZATION; FORECASTING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES; WEBSITES;

DISTRIBUTED IMPLEMENTATION; FACTORIZATION MACHINES; FEATURE INTERACTIONS; INTERACTION PARAMETERS; MULTI-VIEW LEARNING; STOCHASTIC GRADIENT DESCENT METHOD; SUPPORT TENSOR MACHINES; SUPPORT VECTOR MACHINE (SVMS);

WORLD WIDE WEB;

EID: 84964337220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2835776.2835777     Document Type: Conference Paper

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