Adapting kernels by variational approach in SVM

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2557, Issue , 2002, Pages 395-406

  Gao, Junbin ^a   Gunn, Steve ^b   Kandola, Jaz ^c  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS;

APPROXIMATION APPROACH; GAUSSIAN PROCESSES; MIXTURE OF GAUSSIANS; SVM ALGORITHM; SYNTHETIC DATASETS; VARIATIONAL APPROACHES; VARIATIONAL BAYESIAN APPROACHES;

ARTIFICIAL INTELLIGENCE;

EID: 82155175029     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36187-1_35     Document Type: Conference Paper

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