MedLDA: Maximum margin supervised topic models for regression and classification

ACM International Conference Proceeding Series

Volumn 382, Issue , 2009, Pages

  Zhu, Jun ^a,b   Ahmed, Amr ^b   Xing, Eric P ^b  

^a TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; LATENT DIRICHLET ALLOCATION; LOW-DIMENSIONAL REPRESENTATION; MAXIMUM ENTROPY; MAXIMUM MARGIN; NEWSGROUPS; SIDE INFORMATION; TOPIC MODEL; VARIATIONAL METHODS;

MAXIMUM LIKELIHOOD ESTIMATION; ROBOT LEARNING;

MODELS;

EID: 70049109634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1553374.1553535     Document Type: Conference Paper

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