Multi-task learning for sequential data via iHMMs and the nested Dirichlet process

ACM International Conference Proceeding Series

Volumn 227, Issue , 2007, Pages 689-696

  Ni, Kai ^a   Carin, Lawrence ^a   Dunson, David ^b  

^a Duke University   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; MODEL STRUCTURES; MULTITASKING;

GIBBS SAMPLER; MULTITASK LEARNING (MTL); NESTED DIRICHLET PROCESS; SEQUENTIAL DATA;

HIDDEN MARKOV MODELS;

EID: 34547982010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273583     Document Type: Conference Paper

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