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Ensemble Feature Selection for Rankings of Features
2015In the last few years, ensemble learning has been the focus of much attention mainly in classification tasks, based on the assumption that combining the output of multiple experts is better than the output of any single expert. This idea of ensemble learning can be adapted for feature selection, in which different feature selection algorithms act as ...
Borja Seijo-Pardo +3 more
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Combining Feature Subsets in Feature Selection
2005In feature selection, a part of the features is chosen as a new feature subset, while the rest of the features is ignored. The neglected features still, however, may contain useful information for discriminating the data classes. To make use of this information, the combined classifier approach can be used.
Marina Skurichina, Robert P. W. Duin
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2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This search can be efficiently performed via gradient descent. The resulting algorithms are shown to be superior to some standard feature selection algorithms on both toy data and real-
Poggio, Tomaso A. +5 more
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We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This search can be efficiently performed via gradient descent. The resulting algorithms are shown to be superior to some standard feature selection algorithms on both toy data and real-
Poggio, Tomaso A. +5 more
openaire +3 more sources
Causality-based Feature Selection: Methods and Evaluations
ACM Computing Surveys, 2021Xianjie Guo, Lin Liu, Jiuyong Li
exaly
Feature Grouping-based Feature Selection
2017Feature selection (FS) is a process which aims to select input domain features that are most informative for a given outcome. Unlike other dimensionality reduction techniques, feature selection methods preserve the underlying semantics or meaning of the original data following reduction.
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Stability of feature selection algorithm: A review
Journal of King Saud University - Computer and Information Sciences, 2022Utkarsh Mahadeo Khaire +1 more
exaly
A comprehensive survey on recent metaheuristics for feature selection
Neurocomputing, 2022Håkan Ezgi Kiziloz +2 more
exaly
Incremental feature selection by sample selection and feature-based accelerator
Applied Soft Computing, 2022Yanyan Yang 0001 +4 more
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Feature selection with multi-view data: A survey
Information Fusion, 2019Rui Zhang, Xuelong Li, Feiping Nie
exaly
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
IEEE Transactions on Cybernetics, 2013Will N. Browne, Bing Xue, Mengjie Zhang
exaly