32 search results - page 4 / 7 » Regularization and feature selection in least-squares tempor... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
GECCO
2009
Springer
14 years 6 days ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
FLAIRS
2003
13 years 9 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
MIAR
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...