Archipelago: Nonparametric Bayesian semi-supervised learning

Proceedings of the 26th International Conference On Machine Learning, ICML 2009

Volumn , Issue , 2009, Pages 1-8

  Adams, Ryan Prescott ^a   Ghahramani, Zoubin ^b,c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRICHLET PROCESS MIXTURE MODEL; GAUSSIAN PROCESSES; GENERATIVE MODEL; INFERENCE METHODS; MARKOV CHAIN MONTE CARLO ALGORITHMS; MULTI-CLASS; NON-PARAMETRIC BAYESIAN; PROBABILITY DENSITIES; REAL-WORLD; SEMI-SUPERVISED LEARNING; UNLABELED DATA;

EDUCATION; INFERENCE ENGINES; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; ROBOT LEARNING; SUPERVISED LEARNING;

BAYESIAN NETWORKS;

EID: 71149110678     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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