1880 search results - page 64 / 376 » Robust Learning - Rich and Poor |
110
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
112
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CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
132
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TCBB
2011
14 years 8 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
128
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KCAP
2009
ACM
15 years 8 months ago
2009
ACM
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
103
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...