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内容提要:
Proceedings of the Third Intl Workshop, MCS 2002, held June 24-26, 2002 in Cagliari, Italy. Papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications. Softcover. --This text refers to the Paperback edition.
目录:
Future Directions
Semi-supervised Multiple Classifier Systems: Background and Research Directions Boosting Boosting GMM and Its Two Applications Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection Observations on Boosting Feature Selection Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis Combination Methods Decoding Rules for Error Correcting Output Code Ensembles A Probability Model for Combining Ranks EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks Mixture of Gaussian Processes for Combining Multiple Modalities Dynamic Classifier Integration Method Recursive ECOC for Microarray Data Classification Using Dempster-Shafer Theory in MCF Systems to Reject Samples Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers On Deriving the Second-Stage Training Set for Trainable Combiners Using Independence Assumption to Improve Multimodal Biometric Fusion Design Methods Half-Against-Half Multi-class Support Vector Machines Combining Feature Subsets in Feature Selection ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models Ensembles of Classifiers from Spatially Disjoint Data Optimising Two-Stage Recognition Systems Design of Multiple Classifier Systems for Time Series Data …… Performance Analysis Applications Author Index |