2712 search results - page 209 / 543 » On learning algorithm selection for classification |
164
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IPSN
2010
Springer
16 years 1 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
159
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ICML
2004
IEEE
16 years 7 hour ago
2004
IEEE
This paper describes an e cient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
154
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
199
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ICDM
2006
IEEE
16 years 19 days ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
202
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KDD
1998
ACM
15 years 10 months ago
1998
ACM
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...