Infinite latent SVM for classification and multi-task learning

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Zhu, Jun ^a   Chen, Ning ^a   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

INFERENCE ENGINES; SUPPORT VECTOR MACHINES;

BAYE'S THEOREM; CLASSIFICATION TASKS; DOMAIN KNOWLEDGE; LATENT SUPPORT VECTOR MACHINES; LATENT SVM; MULTITASK LEARNING; NON-PARAMETRIC BAYESIAN INFERENCES; NON-PARAMETRIC BAYESIAN MODELING; POSTERIOR DISTRIBUTIONS; REGULARISATION;

BAYESIAN NETWORKS;

EID: 85162332966     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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