A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Floating search methods in feature selection
Pattern Recognition Letters
Fusion of handwritten word classifiers
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soft combination of neural classifiers: a comparative study
Pattern Recognition Letters
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
Ensemble learning via negative correlation
Neural Networks
Machine Learning
Generating classifier outputs of fixed accuracy and diversity
Pattern Recognition Letters
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Feature selection with neural networks
Pattern Recognition Letters
Machine Learning
Image Representations and Feature Selection for Multimedia Database Search
IEEE Transactions on Knowledge and Data Engineering
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Selecting salient features for classification based on neural network committees
Pattern Recognition Letters
Neural Computing and Applications
Random Sampling for Subspace Face Recognition
International Journal of Computer Vision
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cluster-based pattern discrimination: A novel technique for feature selection
Pattern Recognition Letters
Multiple feature sets based categorization of laryngeal images
Computer Methods and Programs in Biomedicine
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Increasing the discrimination power of the co-occurrence matrix-based features
Pattern Recognition
Neural Computing and Applications
Optimal ensemble construction via meta-evolutionary ensembles
Expert Systems with Applications: An International Journal
Classifier combination based on confidence transformation
Pattern Recognition
Search strategies for ensemble feature selection in medical diagnostics
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Selecting variables for neural network committees
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Designing classifier fusion systems by genetic algorithms
IEEE Transactions on Evolutionary Computation
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
Orthogonal forward selection and backward elimination algorithms for feature subset selection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Screening Paper Runnability in a Web-Offset Pressroom by Data Mining
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Ensemble gene selection for cancer classification
Pattern Recognition
Screening web breaks in a pressroom by soft computing
Applied Soft Computing
Feature selection using hierarchical feature clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
Random forests based monitoring of human larynx using questionnaire data
Expert Systems with Applications: An International Journal
Questionnaire- versus voice-based screening for laryngeal disorders
Expert Systems with Applications: An International Journal
Graph-Based model-selection framework for large ensembles
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Financial distress prediction using support vector machines: Ensemble vs. individual
Applied Soft Computing
ReinSel: A class-based mechanism for feature selection in ensemble of classifiers
Applied Soft Computing
Improving the ranking quality of medical image retrieval using a genetic feature selection method
Decision Support Systems
Supervised learning approaches and feature selection - a case study in diabetes
International Journal of Data Analysis Techniques and Strategies
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This paper is concerned with a two phase procedure to select salient features (variables) for classification committees. Both filter and wrapper approaches to feature selection are combined in this work. In the first phase, definitely redundant features are eliminated based on the paired t-test. The test compares the saliency of the candidate and the noise features. In the second phase, the genetic search is employed. The search integrates the steps of training, aggregation of committee members, selection of hyper-parameters, and selection of salient features into the same learning process. A small number of genetic iterations needed to find a solution is the characteristic feature of the genetic search procedure developed. The experimental tests performed on five real-world problems have shown that significant improvements in classification accuracy can be obtained in a small number of iterations if compared to the case of using all the features available.