871 search results - page 125 / 175 » Selection of Classifiers Based on Multiple Classifier Behavi... |
108
Voted
SAC
2008
ACM
15 years 2 months ago
2008
ACM
In this paper we provide a study about crime scenes and its features used in criminal investigations. We argue that the crime scene provides a large set of features that can be us...
159
Voted
GPEM
2010
15 years 1 months ago
2010
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
BMVC
2010
15 years 18 days ago
2010
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. In many practical problems, we would like...
108
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
109
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AAAI
2008
15 years 4 months ago
2008
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...