Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings

Front Matter....Pages -
The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles....Pages 1-10
Recoding Error-Correcting Output Codes....Pages 11-21
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting....Pages 22-31
Multi-class Boosting with Class Hierarchies....Pages 32-41
Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis....Pages 42-51
Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification....Pages 52-61
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data....Pages 62-71
Optimal Mean-Precision Classifier....Pages 72-81
A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling....Pages 82-91
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion....Pages 92-101
Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors....Pages 102-111
Regularized Linear Models in Stacked Generalization....Pages 112-121
Active Grading Ensembles for Learning Visual Quality Control from Multiple Humans....Pages 122-131
Multiple Classifier Systems for Adversarial Classification Tasks....Pages 132-141
Incremental Learning of Variable Rate Concept Drift....Pages 142-151
Semi-supervised Co-update of Multiple Matchers....Pages 152-160
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method....Pages 161-170
Influence of Hyperparameters on Random Forest Accuracy....Pages 171-180
Ensembles of One Class Support Vector Machines....Pages 181-190
Disturbing Neighbors Ensembles for Linear SVM....Pages 191-200
A Labelled Graph Based Multiple Classifier System....Pages 201-210
Cluster Ensembles Based on Vector Space Embeddings of Graphs....Pages 211-221
Random Ordinality Ensembles $\\colon$ A Novel Ensemble Method for Multi-valued Categorical Data....Pages 222-231
True Path Rule Hierarchical Ensembles....Pages 232-241
A Study of Semi-supervised Generative Ensembles....Pages 242-251
Hierarchical Ensemble Support Cluster Machine....Pages 252-261
Multi-scale Stacked Sequential Learning....Pages 262-271
Unsupervised Hierarchical Weighted Multi-segmenter....Pages 272-282
Ant Clustering Using Ensembles of Partitions....Pages 283-292
Selective Ensemble under Regularization Framework....Pages 293-303
Criteria Ensembles in Feature Selection....Pages 304-313
Network Protocol Verification by a Classifier Selection Ensemble....Pages 314-323
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels....Pages 324-334
Improved Uniformity Enforcement in Stochastic Discrimination....Pages 335-343
An Information Theoretic Perspective on Multiple Classifier Systems....Pages 344-353
Constraints in Weighted Averaging....Pages 354-363
FaSS: Ensembles for Stable Learners....Pages 364-374
Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data....Pages 375-384
Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation....Pages 385-397
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image....Pages 398-407
Target Identification from High Resolution Remote Sensing Image by Combining Multiple Classifiers....Pages 408-417
Neural Network Optimization for Combinations in Identification Systems....Pages 418-427
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction....Pages 428-437
Diversity-Based Classifier Selection for Adaptive Object Tracking....Pages 438-447
Ensemble Based Data Fusion for Gene Function Prediction....Pages 448-457
A Cascade Multiple Classifier System for Document Categorization....Pages 458-467
Maximum Membership Scale Selection....Pages 468-477
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets....Pages 478-487
A Study of Random Linear Oracle Ensembles....Pages 488-497
Stacking for Ensembles of Local Experts in Metabonomic Applications....Pages 498-508
Boosting Support Vector Machines Successfully....Pages 509-518
Manifold Learning for Multi-classifier Systems via Ensembles....Pages 519-528
When Semi-supervised Learning Meets Ensemble Learning....Pages 529-538
Back Matter....Pages -