| |
| |
| Data Dependence in Combining Classifiers | |
| |
| |
| |
| Boosting with Averaged Weight Vectors | |
| |
| |
| |
| Error Bounds for Aggressive and Conservative AdaBoost | |
| |
| |
| |
| An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise | |
| |
| |
| |
| The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns | |
| |
| |
| |
| The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement | |
| |
| |
| |
| Reducing the Overconfidence of Base Classifiers when Combining Their Decisions | |
| |
| |
| |
| Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results | |
| |
| |
| |
| Comparison of Classifier Selection Methods for Improving Committee Performance | |
| |
| |
| |
| Towards Automated Classifier Combination for Pattern Recognition | |
| |
| |
| |
| Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding | |
| |
| |
| |
| Polychotomous Classification with Pairwise Classifiers: A New Voting Principle | |
| |
| |
| |
| Multi-category Classification by Soft-Max Combination of Binary Classifiers | |
| |
| |
| |
| A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy | |
| |
| |
| |
| Binary Classifier Fusion Based on the Basic Decomposition Methods | |
| |
| |
| |
| Good Error Correcting Output Codes for Adaptive Multiclass Learning | |
| |
| |
| |
| Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors | |
| |
| |
| |
| An Ensemble Approach for Data Fusion with Learn++ | |
| |
| |
| |
| The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion | |
| |
| |
| |
| Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database | |
| |
| |
| |
| Beam Search Extraction and Forgetting Strategies on Shared Ensembles | |
| |
| |
| |
| A Markov Chain Approach to Multiple Classifier Fusion | |
| |
| |
| |
| A Study of Ensemble of Hybrid Networks with Strong Regularization | |
| |
| |
| |
| Combining Multiple Modes of Information Using Unsupervised Neural Classifiers | |
| |
| |
| |
| Neural Net Ensembles for Lithology Recognition | |
| |
| |
| |
| Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks | |
| |
| |
| |
| Negative Correlation Learning and the Ambiguity Family of Ensemble Methods | |
| |
| |
| |
| Spectral Coefficients and Classifier Correlation | |
| |
| |
| |
| Ensemble Construction via Designed Output Distortion | |
| |
| |
| |
| Simulating Classifier Outputs for Evaluating Parallel Combination Methods | |
| |
| |
| |
| A New Ensemble Diversity Measure Applied to Thinning Ensembles | |
| |
| |
| |
| Ensemble Methods for Noise Elimination in Classification Problems | |
| |
| |
| |
| New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task | |
| |
| |
| |
| Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems | |
| |
| |
| |
| A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks | |
| |
| |
| |
| Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition | |
| |
| |
| |
| Building Classifier Ensembles for Automatic Sports Classification | |
| |
| |
| |
| Classification of Aircraft Maneuvers for Fault Detection | |
| |
| |
| |
| Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System | |
| |
| |
| |
| Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings | |
| |
| |
| |
| Author Index | |