Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Feature Selection Algorithms: A Survey and Experimental Evaluation
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
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
Impact of error estimation on feature selection
Pattern Recognition
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
Partially supervised feature selection with regularized linear models
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Feature Selection by Transfer Learning with Linear Regularized Models
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Improving stability of feature selection methods
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Review Article: Stable feature selection for biomarker discovery
Computational Biology and Chemistry
Expectation propagation for Bayesian multi-task feature selection
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Network-based sparse Bayesian classification
Pattern Recognition
Feature selection stability assessment based on the Jensen-Shannon divergence
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Ensemble logistic regression for feature selection
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
Stable Gene Selection from Microarray Data via Sample Weighting
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The Journal of Machine Learning Research
Measuring stability of feature ranking techniques: a noise-based approach
International Journal of Business Intelligence and Data Mining
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
Conversationally-inspired stylometric features for authorship attribution in instant messaging
Proceedings of the 20th ACM international conference on Multimedia
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
Feature selection using counting grids: application to microarray data
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Multiclass Gene Selection Using Pareto-Fronts
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Assessing similarity of feature selection techniques in high-dimensional domains
Pattern Recognition Letters
Simultaneous sample and gene selection using t-score and approximate support vectors
PRIB'13 Proceedings of the 8th IAPR international conference on Pattern Recognition in Bioinformatics
A new measure for gene expression biclustering based on non-parametric correlation
Computer Methods and Programs in Biomedicine
PLS-based recursive feature elimination for high-dimensional small sample
Knowledge-Based Systems
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Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the quality of the candidate subsets usually depends on the training/testing split of the data. Therefore different sequences of features may be returned from repeated runs of SFS. A substantial discrepancy between such sequences will signal a problem with the selection. A stability index is proposed here based on cardinality of the intersection and a correction for chance. The experimental results with 10 real data sets indicate that the index can be useful for selecting the final feature subset. If stability is high, then we should return a subset of features based on their total rank across the SFS runs. If stability is low, then it is better to return the feature subset which gave the minimum error across all SFS runs.