A dirichlet process mixture of dirichlet distributions for classification and prediction

Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

Volumn , Issue , 2008, Pages 297-302

  Bouguila, Nizar ^a   Ziou, Djemel ^b  

^a Concordia University ^*  (Canada)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLUSTERING ALGORITHMS; LEARNING SYSTEMS; ROBOT LEARNING; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

BAYESIAN; BAYESIAN FRAMEWORKS; CLUSTERINGS; DATA CLASSIFICATIONS; DIRICHLET DISTRIBUTIONS; DIRICHLET PROCESSES; GIBBS SAMPLERS; IMAGE MODELS; LEARNING APPROACHES; NON-GAUSSIAN; NONPARAMETRIC; POSTERIOR DISTRIBUTIONS;

MATHEMATICAL MODELS;

EID: 58049180796     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2008.4685496     Document Type: Conference Paper

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