3716 search results - page 286 / 744 » On the monotonization of the training set |
180
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JAIR
2000
15 years 6 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
185
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NECO
2000
15 years 6 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
211
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IVC
2007
15 years 6 months ago
2007
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
175
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TOH
2010
15 years 5 months ago
2010
—This paper is concerned with investigating the factors that contribute to optimizing information transfer (IT) rate in humans. With an increasing interest in designing complex h...
175
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ACL
2010
15 years 4 months ago
2010
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...