Front matter
277-280
Multiclassifier Systems: Back to the Future
Joydeep Ghosh
57-79
Support Vector Machines, Kernel Logistic Regression and Boosting
Ji Zhu and Trevor Hastie
303-306
Multiple Classification Systems in the Context of Feature Extraction and Selection
Šarūnas Raudys
179-182
Boosted Tree Ensembles for Solving Multiclass Problems
Terry Windeatt and Gholamreza Ardeshir
52-61
Distributed Pasting of Small Votes
N. V. Chawla, L. O. Hall, K. W. Bowyer, T. E. Moore and W. P. Kegelmeyer
307-311
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy
Marina Skurichina, Liudmila I. Kuncheva and Robert P. W. Duin
663-668
Highlighting Hard Patterns via AdaBoost Weights Evolution
Bruno Caprile, Cesare Furlanello and Stefano Merler
717-720
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse
Ludmila I. Kuncheva and Christopher J. Whitaker
327-330
Multistage Neural Network Ensembles
Shuang Yang, Antony Browne and Philip D. Picton
193-198
Forward and Backward Selection in Regression Hybrid Network
Shimon Cohen and Nathan Intrator
691-694
Types of Multinet System
Amanda J. C. Sharkey
7-25
Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining
Francesco Mola and Roberta Siciliano
709-712
New Measure of Classifier Dependency in Multiple Classifier Systems
Dymitr Ruta and Bogdan Gabrys
673-677
A Discussion on the Classifier Projection Space for Classifier Combining
Elżbieta Pękalska, Robert P. W. Duin and Marina Skurichina
225-229
On the General Application of the Tomographic Classifier Fusion Methodology
D. Windridge and J. Kittler
171-174
Post-processing of Classifier Outputs in Multiple Classifier Systems
Hakan Altinçay and Mübeccel Demirekler
319-322
Trainable Multiple Classifier Schemes for Handwritten Character Recognition
K. Sirlantzis, S. Hoque and M. C. Fairhurst
699-703
Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition
Simon Günter and Horst Bunke
183-186
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh and Amy Neuenschwander
241-245
Stacking with Multi-response Model Trees
Sašo Džeroski and Bernard Ženko
212-221
On Combining One-Class Classifiers for Image Database Retrieval
Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elżbieta Pękalska and Pavel Paclík
27-38
Bias—Variance Analysis and Ensembles of SVM
Giorgio Valentini and Thomas G. Dietterich
203-206
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs
Fabio Roli, Šarūnas Raudys and Gian Luca Marcialis
242-251
Reduction of the Boasting Bias of Linear Experts
Arūnas Janeliūnas and Šarūnas Raudys
252-261
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
Fabio Roli and Giorgio Fumera
683-686
Boosting and Classification of Electronic Nose Data
Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri and Giorgio Valentini
281-285
Content-Based Classification of Digital Photos
R. Schettini, C. Brambilla and C. Cusano
207-210
Classifier Combination for
In Vivo
Magnetic Resonance Spectra of Brain Tumours
Julià Minguillón, Anne Rosemary Tate, Carles Arús and John R. Griffiths
293-296
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu and Giuseppina Gini
657-661
A Multi-expert System for Movie Segmentation
L. P. Cordelia, M. De Santo, G. Percannella, C. Sansone and M. Vento
1-4
Decision Level Fusion of Intramodal Personal Identity Verification Experts
J. Kittler, M. Ballette, J. Czyz, F. Roli and L. Vandendorpe
215-219
An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems
Fabio Roli, Josef Kittler, Giorgio Fumera and Daniele Muntoni
Back matter