836 search results - page 100 / 168 » Machine learning: a review of classification and combining t... |
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
BMCBI
2010
13 years 8 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...