Floating search methods in feature selection
Pattern Recognition Letters
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A stability index for feature selection
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Robust Feature Selection Using Ensemble Feature Selection Techniques
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Margin based sample weighting for stable feature selection
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Measuring stability of feature ranking techniques: a noise-based approach
International Journal of Business Intelligence and Data Mining
Feature extraction in protein sequences classification: a new stability measure
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
International Journal of Data Mining and Bioinformatics
A new measure for gene expression biclustering based on non-parametric correlation
Computer Methods and Programs in Biomedicine
Analysis of feature selection stability on high dimension and small sample data
Computational Statistics & Data Analysis
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An improper design of feature selection methods can often lead to incorrect conclusions. Moreover, it is not generally realised that functional values of the criterion guiding the search for the best feature set are random variables with some probability distribution. This contribution examines the influence of several estimation techniques on the consistency of the final result. We propose an entropy based measure which can assess the stability of feature selection methods with respect to perturbations in the data. Results show that filters achieve a better stability and performance if more samples are employed for the estimation, i.e., using leave-one-out cross-validation, for instance. However, the best results for wrappers are acquired with the 50/50 holdout validation.