Boosting a weak learning algorithm by majority
Information and Computation
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Pattern classification: a unified view of statistical and neural approaches
Pattern classification: a unified view of statistical and neural approaches
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
An introduction to variable and feature selection
The Journal of Machine Learning Research
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
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This study analyses different methods of diagnostic feature selection in the problem of classification of the blood cells in leukemia. The analyzed methods belong to the wrapper and filter methods and cover wide range of approaches to feature selection problem. In particular they cover 7 methods, each of them working on different principle. As a results of this preprocessing stage we define the best (according to the applied method) set of features which is next used as the input for the Gaussian kernel SVM classifier. The last step of blood cell recognition is the integration of the results of application of all methods. The numerical results of experiments will be presented and analyzed.