2161 search results - page 107 / 433 » Learning to classify e-mail |
95
Voted
KDD
2003
ACM
16 years 1 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
116
Voted
MCS
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
109
Voted
IJCAI
2007
15 years 2 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
110
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
105
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CAIP
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...