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SSVM: A Amooth Support Vector Machine for Classification
(1999)
Smoothing methods, extensively used for solving important math-
ematical programming problems and applications, are applied here
to generate and solve an unconstrained smooth reformulation of the
support vector machine ...
RSVM: Reduced Support Vector Machines
(2001-01)
An algorithm is proposed which generates a nonlinear kernel-based
separating surface that requires as little as 1% of a large dataset for its explicit
evaluation. To generate this nonlinear surface, the entire dataset ...
Survival-Time Classi cation of Breast Cancer Patients
(2001)
The identi cation of breast cancer patients for whom chemother-
apy could prolong survival time is treated here as a data mining prob-
lem. This identi cation is achieved by clustering 253 breast cancer
patients into ...



