1863 search results - page 96 / 373 » A supervised learning approach for imbalanced data sets |
164
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NIPS
2008
15 years 5 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
COLING
2010
14 years 11 months ago
2010
While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require larg...
128
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
117
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DAWAK
2006
Springer
15 years 7 months ago
2006
Springer
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
153
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...