Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
Floating search methods in feature selection
Pattern Recognition Letters
Dimension reduction by local principal component analysis
Neural Computation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Feature selection with neural networks
Pattern Recognition Letters
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
Variable selection using svm based criteria
The Journal of Machine Learning Research
Overfitting in making comparisons between variable selection methods
The Journal of Machine Learning Research
Ant Colony Optimization
Margin based feature selection - theory and algorithms
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Feature selection, L1 vs. L2 regularization, and rotational invariance
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Randomized Variable Elimination
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Random subspace method for multivariate feature selection
Pattern Recognition Letters
Feature selection based on rough sets and particle swarm optimization
Pattern Recognition Letters
A hybrid approach for feature subset selection using neural networks and ant colony optimization
Expert Systems with Applications: An International Journal
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov blanket-embedded genetic algorithm for gene selection
Pattern Recognition
A hybrid genetic algorithm for feature selection wrapper based on mutual information
Pattern Recognition Letters
An efficient ant colony optimization approach to attribute reduction in rough set theory
Pattern Recognition Letters
Text feature selection using ant colony optimization
Expert Systems with Applications: An International Journal
A filter model for feature subset selection based on genetic algorithm
Knowledge-Based Systems
A novel ACO-GA hybrid algorithm for feature selection in protein function prediction
Expert Systems with Applications: An International Journal
Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Expert Systems with Applications: An International Journal
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
The Journal of Machine Learning Research
Feature selection using genetic algorithm and cluster validation
Expert Systems with Applications: An International Journal
The ANNIGMA-wrapper approach to fast feature selection for neuralnets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic programming for simultaneous feature selection and classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Neural-network feature selector
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
IEEE Transactions on Neural Networks
Research on clinical decision support systems development for atrophic gastritis screening
Expert Systems with Applications: An International Journal
Feature subset selection using improved binary gravitational search algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper presents a new hybrid genetic algorithm (HGA) for feature selection (FS), called as HGAFS. The vital aspect of this algorithm is the selection of salient feature subset within a reduced size. HGAFS incorporates a new local search operation that is devised and embedded in HGA to fine-tune the search in FS process. The local search technique works on basis of the distinct and informative nature of input features that is computed by their correlation information. The aim is to guide the search process so that the newly generated offsprings can be adjusted by the less correlated (distinct) features consisting of general and special characteristics of a given dataset. Thus, the proposed HGAFS receives the reduced redundancy of information among the selected features. On the other hand, HGAFS emphasizes on selecting a subset of salient features with reduced number using a subset size determination scheme. We have tested our HGAFS on 11 real-world classification datasets having dimensions varying from 8 to 7129. The performances of HGAFS have been compared with the results of other existing ten well-known FS algorithms. It is found that, HGAFS produces consistently better performances on selecting the subsets of salient features with resulting better classification accuracies.