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146
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SDM
2003
SIAM
15 years 7 months ago
2003
SIAM
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
184
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ECML
1993
Springer
15 years 10 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
141
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NIPS
2007
15 years 7 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
155
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NIPS
2007
15 years 7 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
180
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...