591 search results - page 13 / 119 » Learning and optimization using the clonal selection princip... |
121
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
270
Voted
ACL
1998
15 years 5 months ago
1998
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
143
Voted
ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
128
Voted
ACIVS
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
150
Voted
JAIR
2000
15 years 3 months ago
2000
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...