1863 search results - page 324 / 373 » A supervised learning approach for imbalanced data sets |
133
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
133
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SIGIR
2006
ACM
15 years 10 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
132
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
157
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SEMWEB
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web ...
137
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JUCS
2008
15 years 4 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...