Multiple Classifier Systems（多层分类器系统）

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.

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