18.465 Topics in Statistics: Statistical Learning Theory, Spring 2004
Author(s)Panchenko, Dmitry A.
Topics in Statistics: Statistical Learning Theory
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The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.
machine learning algorithms, boosting, support vector machines, neural networks, Vapnik- Chervonenkis theory, concentration inequalities in product spaces, empirical process theory