3668 search results - page 142 / 734 » Margin Distribution and Learning |
118
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ACL
2006
15 years 6 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
143
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NAACL
2003
15 years 6 months ago
2003
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
158
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
135
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JAIR
2006
15 years 4 months ago
2006
This paper presents a new framework for anytime heuristic search where the task is to achieve as many goals as possible within the allocated resources. We show the inadequacy of t...
125
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MCS
2002
Springer
15 years 4 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...