Short comings of latent models in supervised settings

SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2005, Pages 625-626

  Krishnan, Vijay ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

corpus modeling; latent models

Indexed keywords

BETTER PERFORMANCE; GENERATIVE MODEL; INHERENT LIMITATIONS; LATENT DIRICHLET ALLOCATION; LATENT MODELS; OPTIMAL PARAMETER; SHORT-COMINGS; SUPERVISED CLASSIFICATION;

INFORMATION RETRIEVAL;

STATISTICS;

EID: 84885631834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1076034.1076160     Document Type: Conference Paper

References (5)

1. Thomas Hofmann. Probabilistic Latent Semantic Analysis. In UAI 1999, pages 289-296.
2. Thomas Hofmann. Probabilistic Latent Semantic Indexing. In ACM SIGIR 1999, pages 50-57.
3. David M. Blei, Andrew Y. Ng and Michael I. Jordan. Latent Dirichlet Allocation. In NIPS 2001, pages 601-608.
4. David M. Blei, Andrew Y. Ng and Michael I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research 3:993-1022, Jan 2003.
5. John Canny. GAP: A Factor Model for Discrete Data. In ACM SIGIR 2004, pages: 122-129.