Nonlinear knowledge in kernel approximation

IEEE Transactions on Neural Networks

Volumn 18, Issue 1, 2007, Pages 300-306

  Mangasarian, Olvi L ^a   Wild, E W ^a  

^a University of Wisconsin   (United States)

Author keywords

Kernel approximation; Linear programming; Prior knowledge; Theorem of the alternative

Indexed keywords

APPROXIMATION THEORY; CONSTRAINT THEORY; LINEAR PROGRAMMING; THEOREM PROVING;

KERNEL APPROXIMATION; LINEAR CONSTRAINTS; LINEAR INEQUALITIES; NONLINEAR KNOWLEDGE; PRIOR KNOWLEDGE;

KNOWLEDGE REPRESENTATION;

ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; LETTER; LYMPH NODE METASTASIS; METASTASIS; METHODOLOGY; NONLINEAR SYSTEM; PATHOLOGY; PROGNOSIS; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LYMPHATIC METASTASIS; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 33846086864     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.886354     Document Type: Article

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