775 search results - page 48 / 155 » Relevance Ranking Using Kernels |
125
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JMLR
2010
14 years 10 months ago
2010
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
130
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
123
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IWANN
2005
Springer
15 years 8 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
133
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ECIR
1998
Springer
1998
Springer
Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval
15 years 4 months ago
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
131
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EMNLP
2009
15 years 1 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...