Searching for "Feature selection for ranking." – sorted by Relevance.
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Feature Selection for Ranking
- SIGIR 2007 Proceedings Session 16: Learning to Rank II Feature Selection for Ranking Xiubo Geng 1
- Cited by 1 (1 self) – Add To MetaCart
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Feature Ranking and Selection for Intrusion Detection Systems Using Support Vector Machines
- Feature Ranking and Selection for Intrusion Detection Systems Using Support Vector Machines
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Feature Ranking Based On Interclass Separability For Fuzzy Control Application
- . Existing feature selection/ranking techniques are mostly suitable for classification problems
- Cited by 1 (1 self) – Add To MetaCart
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Ensemble learning with evolutionary computation: Application to feature ranking
- aimed at Feature Selection and Feature Ranking, referred to as Ensemble Feature Ranking, is presented
- Cited by 3 (1 self) – Add To MetaCart
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Ensemble Feature Ranking
- setting for Feature Selection is known as Feature Ranking, ranking the features with respect
- Cited by 9 (5 self) – Add To MetaCart
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Generalized Spectral Bounds for Sparse LDA
- such as sparse LDA, feature selection and relevance ranking for classification. We derive a new generalized form
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Generalized spectral bounds for sparse LDA
- to more traditional feature selection (ranking) techniques such as the Pearson’s correlation coefficient
- Cited by 6 (1 self) – Add To MetaCart
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.omicsonline.com Research Article JPB/Vol.2/May 2009 Ranking Methods for the Prediction of Frequent Top Scoring Peptides
- -specific feature selection using the Greedy Search Algorithm to significantly improve the performance of Rank
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Feature Scoring by Mutual Information for Classification of
- on the combination of feature ranking and forward selection, and using mutual information on sets of features rather
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N.H.H.: Robust svmbased biomarker selection with noisy mass spectrometric proteomic data
- Techniques One can distinguish three main approaches for feature ranking/selection: wrapper, filter
- Cited by 2 (0 self) – Add To MetaCart

