180 search results - page 17 / 36 » Introduction to Statistical Learning Theory |
FTML
2008
13 years 7 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
IJCAI
1989
13 years 8 months ago
1989
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
STOC
2010
ACM
13 years 11 months ago
2010
ACM
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...