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