1012 search results - page 90 / 203 » A Learning Classifier Approach to Tomography |
133
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WEBI
2004
Springer
15 years 9 months ago
2004
Springer
When dealing with information overload from the Internet, such as the classification of Web pages and the filtering of email spam, a new technique called cotraining has been shown...
145
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PAKDD
2011
ACM
14 years 7 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
142
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SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
189
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IJCV
2006
15 years 4 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
170
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WEA
2010
Springer
15 years 1 months ago
2010
Springer
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...