Kernel trick embedded Gaussian mixture model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2842, Issue , 2003, Pages 159-174

  Wang, Jingdong ^a   Lee, Jianguo ^a   Zhang, Changshui ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; GAUSSIAN DISTRIBUTION; LEARNING SYSTEMS; ALGORITHMS; DATABASE SYSTEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION;

COMPUTATIONAL COST PROBLEMS; GAUSSIAN MIXTURE MODEL; KERNEL METHODS; LARGE SCALE DATA SETS; MONTE CARLO SAMPLING TECHNIQUE; NONLINEAR PROBLEMS; PARAMETER ESTIMATION ALGORITHM; PROBABILISTIC FRAMEWORK;

MONTE CARLO METHODS; LEARNING SYSTEMS;

COMPUTATIONAL COSTS; GAUSSIAN MIXTURE MODEL; PARAMETER ESTIMATION ALGORITHMS; PROBABILISTIC FRAMEWORK;

EID: 7444226952     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39624-6_14     Document Type: Conference Paper

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