Probabilistic methods for Support Vector Machines

Advances in Neural Information Processing Systems

Volumn , Issue , 2000, Pages 349-355

  Sollich, Peter ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE EXPRESSIONS; CROSS VALIDATION; GAUSSIAN PROCESS PRIORS; INFERENCE PROBLEM; MAXIMUM A POSTERIORI; OPTIMAL VALUES; PROBABILISTIC METHODS; SUPPORT VECTOR MACHINE (SVMS);

SUPPORT VECTOR MACHINES;

EID: 84899032333     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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11. P Sollich. Probabilistic interpretation and Bayesian methods for Support Vector Machines. Submitted to ICANN 99.
12. C K I Williams. Prediction with Gaussian processes: Prom linear regression to linear prediction and beyond. In M I Jordan' editor' Learning and Inference in Graphical Models' pages 599-621. Kluwer Academic' 1998.