Uniqueness theorems for kernel methods

Neurocomputing

Volumn 55, Issue 1-2, 2003, Pages 187-220

  Burges, Christropher J C ^a   Crisp, David J ^b  

^a MICROSOFT RESEARCH   (United States)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Convex optimization; Kernel methods; Stability; Support vector machines; Uniqueness

Indexed keywords

ALGORITHMS; OPTIMIZATION; REGRESSION ANALYSIS; SET THEORY; THEOREM PROVING; VECTORS;

KERNEL METHODS;

NEURAL NETWORKS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBLEM SOLVING; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SYSTEM ANALYSIS;

EID: 0242320492     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(03)00434-X     Document Type: Article

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