Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004. Proceedings

Front Matter....Pages -
Classifier Ensembles for Changing Environments....Pages 1-15
A Generic Sensor Fusion Problem: Classification and Function Estimation....Pages 16-30
AveBoost2: Boosting for Noisy Data....Pages 31-40
Bagging Decision Multi-trees....Pages 41-51
Learn++.MT: A New Approach to Incremental Learning....Pages 52-61
Beyond Boosting: Recursive ECOC Learning Machines....Pages 62-71
Exact Bagging with k -Nearest Neighbour Classifiers....Pages 72-81
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach....Pages 82-91
Combining One-Class Classifiers to Classify Missing Data....Pages 92-101
Combining Kernel Information for Support Vector Classification....Pages 102-111
Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate....Pages 112-121
Combining Dissimilarity-Based One-Class Classifiers....Pages 122-133
A Modular System for the Classification of Time Series Data....Pages 134-143
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles....Pages 144-153
Classifier Fusion Using Triangular Norms....Pages 154-163
Dynamic Integration of Regression Models....Pages 164-173
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule....Pages 174-183
Spectral Measure for Multi-class Problems....Pages 184-193
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation....Pages 194-203
A Method for Designing Cost-Sensitive ECOC....Pages 204-213
Building Graph-Based Classifier Ensembles by Random Node Selection....Pages 214-222
A Comparison of Ensemble Creation Techniques....Pages 223-232
Multiple Classifiers System for Reducing Influences of Atypical Observations....Pages 233-242
Sharing Training Patterns among Multiple Classifiers....Pages 243-252
First Experiments on Ensembles of Radial Basis Functions....Pages 253-262
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias–Variance Analysis....Pages 263-272
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers....Pages 273-282
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems....Pages 283-292
Experiments on Ensembles with Missing and Noisy Data....Pages 293-302
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign....Pages 303-313
Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition....Pages 314-323
Network Intrusion Detection by a Multi-stage Classification System....Pages 324-333
Application of Breiman’s Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules....Pages 334-343
Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification....Pages 344-353
Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification....Pages 354-363
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers....Pages 364-373
Second Guessing a Commercial’Black Box’ Classifier by an’In House’ Classifier: Serial Classifier Combination in a Speech Recognition Application....Pages 374-383
Back Matter....Pages -