1025 search results - page 137 / 205 » Constraint Programming for Data Mining and Machine Learning |
112
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
140
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
136
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ECML
2007
Springer
15 years 6 months ago
2007
Springer
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
111
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
142
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SAC
2010
ACM
14 years 9 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...