C4.5: programs for machine learning
C4.5: programs for machine learning
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
An Evolutionary Algorithm for Integer Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automatic Feature Extraction for Classifying Audio Data
Machine Learning
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Selecting small audio feature sets in music classification by means of asymmetric mutation
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
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In this paper a new method based on evolution strategies (ES) is presented to optimize a classifier for personal music categories. The user assigns songs to multiple personal music categories: Examples from each category are selected in order to train a category-specific classifier using musical features as input. The classifier then ranks all songs according to their similarity to the category examples. Since an exhaustive search for parameters maximizing the classifier performance is not feasible an ES is applied. The experiments show a significant performance increase for various music categories due to the ES optimization.