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RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
PAMI
2010
185views more  PAMI 2010»
13 years 3 months ago
Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
Petr Somol, Jana Novovicová
CVHI
2007
13 years 6 months ago
A System for Control of Hearing Instrument Selection and Adjustment based on Evaluation of Correct Transmission of Speech Elemen
: Modern digital hearing aids provide unprecedented means of compensating for hearing impairments. However, this comes at the price of adjusting complex processing parameters. To a...
Axel Plinge, Dieter Bauer
MLDM
2007
Springer
13 years 10 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
MCS
2007
Springer
13 years 10 months ago
Stopping Criteria for Ensemble-Based Feature Selection
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
Terry Windeatt, Matthew Prior