743 search results - page 103 / 149 » Solving the Multiple-Instance Problem: A Lazy Learning Appro... |
105
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ICML
2009
IEEE
15 years 8 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
121
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AAAI
2008
15 years 4 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
151
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SIAMIS
2010
14 years 8 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
107
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
122
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MM
2005
ACM
15 years 7 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...