lecture17 (1)

lecture17 (1) - architectures. Suggested Reading Girosi,...

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Lecture 17: Regularization Networks Tomaso Poggio Description We describe Radial Basis Function networks and RBF extensions such as Hyper Basis Functions. We derive the relation with additive models, with various types of splines and with other types of neural network
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Unformatted text preview: architectures. Suggested Reading Girosi, Jones and Poggio. Regularization Theory and Neural Networks Architectures Neural Computation, Vol 7, 219-269, 1995. Hertz, Krogh, and Palmer. Introduction to the Theory of Neural Computation Addison Wesley, 1991....
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This note was uploaded on 11/11/2011 for the course BIO 9.07 taught by Professor Ruthrosenholtz during the Spring '04 term at MIT.

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