2884 search results - page 42 / 577 » Evaluating learning algorithms and classifiers |
160
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MIR
2005
ACM
15 years 9 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
137
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ECCV
2002
Springer
16 years 5 months ago
2002
Springer
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
158
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IWBRS
2005
Springer
15 years 9 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
135
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AI
2002
Springer
15 years 3 months ago
2002
Springer
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
151
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SIGSOFT
2008
ACM
16 years 4 months ago
2008
ACM
Runtime monitoring allows programmers to validate, for instance, the proper use of application interfaces. Given a property specification, a runtime monitor tracks appropriate run...