Summary: ETHEM ALPAYDIN
© The MIT Press, 2010
alpaydin@boun.edu.tr
http://www.cmpe.boun.edu.tr/~ethem/i2ml2e
Lecture Slides for
Kernel Machines
Discriminant-based: No need to estimate densities first
Define the discriminant in terms of support vectors
The use of kernel functions, application-specific measures
of similarity
No need to represent instances as vectors
Convex optimization problems with a unique solution
3Lecture Notes for E Alpaydin 2010 Introduction to Machine Learning 2e © The MIT Press (V1.0)
4
Optimal Separating Hyperplane
(Cortes and Vapnik, 1995; Vapnik, 1995)

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Source: Alpaydýn, Ethem - Department of Computer Engineering, Bogaziçi University

Collections: Computer Technologies and Information Sciences