3088 search results - page 91 / 618 » Learning Question Classifiers |
FLAIRS
2004
13 years 9 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
INFFUS
2008
13 years 8 months ago
2008
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
JAIR
2008
13 years 8 months ago
2008
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
TNN
2010
13 years 2 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...