3381 search results - page 163 / 677 » LEO - DB2's LEarning Optimizer |
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
COLT
2005
Springer
14 years 4 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
ECML
2005
Springer
14 years 3 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
ECML
2005
Springer
14 years 3 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...