Elements of information theory
Elements of information theory
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
Theoretical Computer Science
Feature selection for ensembles
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Information-theoretic algorithm for feature selection
Pattern Recognition Letters
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
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
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
A Compact and Accurate Model for Classification
IEEE Transactions on Knowledge and Data Engineering
Consistency-based search in feature selection
Artificial Intelligence
Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information
Journal of VLSI Signal Processing Systems
Fast Branch & Bound Algorithms for Optimal Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A feature selection technique for classificatory analysis
Pattern Recognition Letters
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Effective feature selection scheme using mutual information
Neurocomputing
Mutual information-based feature extraction on the time-frequencyplane
IEEE Transactions on Signal Processing
Enhancing genetic feature selection through restricted search and Walsh analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
Probability of error, equivocation, and the Chernoff bound
IEEE Transactions on Information Theory
Input feature selection for classification problems
IEEE Transactions on Neural Networks
Feature selection in MLPs and SVMs based on maximum output information
IEEE Transactions on Neural Networks
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
Computer Methods and Programs in Biomedicine
Feature Selection Using Mutual Information: An Experimental Study
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Feature selection with dynamic mutual information
Pattern Recognition
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
Estimating redundancy information of selected features in multi-dimensional pattern classification
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
An efficient statistical feature selection approach for classification of gene expression data
Journal of Biomedical Informatics
Information Sciences: an International Journal
Feature selection for support vector machines with RBF kernel
Artificial Intelligence Review
A hybrid approach to feature subset selection for brain-computer interface design
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Feature subset selection wrapper based on mutual information and rough sets
Expert Systems with Applications: An International Journal
A new hybrid ant colony optimization algorithm for feature selection
Expert Systems with Applications: An International Journal
Feature evaluation and selection with cooperative game theory
Pattern Recognition
Attribute selection method based on a hybrid BPNN and PSO algorithms
Applied Soft Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis
Computer Methods and Programs in Biomedicine
Time-efficient estimation of conditional mutual information for variable selection in classification
Computational Statistics & Data Analysis
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In this study, a hybrid genetic algorithm is adopted to find a subset of features that are most relevant to the classification task. Two stages of optimization are involved. The outer optimization stage completes the global search for the best subset of features in a wrapper way, in which the mutual information between the predictive labels of a trained classifier and the true classes serves as the fitness function for the genetic algorithm. The inner optimization performs the local search in a filter manner, in which an improved estimation of the conditional mutual information acts as an independent measure for feature ranking taking account of not only the relevance of the candidate feature to the output classes but also the redundancy to the already-selected features. The inner and outer optimizations cooperate with each other and achieve the high global predictive accuracy as well as the high local search efficiency. Experimental results demonstrate both parsimonious feature selection and excellent classification accuracy of the method on a range of benchmark data sets.