Browsing by Subject "statistical learning theory"
Now showing items 1-3 of 3
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Neural Networks
(1996-03-13)We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view ...
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A Note on Perturbation Results for Learning Empirical Operators
(2008-08-19)A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eigenfunctions of operators defined by a ...
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A Note on the Generalization Performance of Kernel Classifiers with Margin
(2000-05-01)We present distribution independent bounds on the generalization misclassification performance of a family of kernel classifiers with margin. Support Vector Machine classifiers (SVM) stem out of this class of machines. The ...