392 search results - page 6 / 79 » Selecting a Relevant Set of Examples to Learn IE-Rules |
103
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ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
112
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IVC
2007
14 years 11 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...
112
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COGSCI
2008
14 years 10 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
106
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
108
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HIS
2008
15 years 1 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...