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Topics in Statistics: Statistical Learning Theory, Spring 2007 - MIT OCW
41 Papers | 2 Members | Created by Bar tender on 9/2/2008 | Category: Statistics
Description: 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.
 
10 - Optimistic VC inequality [Remove from course]    Preview Add to favorites    Add to favorites
By  Bar tender September 2, 2008
Views: 247
Rating: 0
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Category: Statistics
Tags: Inequality Optimistic VC 

16 - Covering numbers of the convex hull [Remove from course]    Preview Add to favorites    Add to favorites
By  Bar tender September 2, 2008
Views: 328
Rating: 0
0 Comments
Category: Statistics
Tags: Convex covering Hull NUMBERS