3624 search results - page 259 / 725 » Learning to learn: From smart machines to intelligent machin... |
178
click to vote
ECML
2007
Springer
16 years 27 days ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
190
click to vote
ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
176
click to vote
ECTEL
2009
Springer
15 years 4 months ago
2009
Springer
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
159
click to vote
ICML
2009
IEEE
16 years 7 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...
189
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...