864 search results - page 120 / 173 » Selective Attention Improves Learning |
156
Voted
AAAI
2004
15 years 6 months ago
2004
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
138
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ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
173
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JMLR
2008
15 years 4 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
143
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PROMISE
2010
14 years 11 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
149
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WWW
2008
ACM
16 years 5 months ago
2008
ACM
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...