Front matter
159
Data Dependence in Combining Classifiers
Mohamed S. Kamel and Nayer M. Wanas
159
Boosting with Averaged Weight Vectors
Nikunj C. Oza
159
Error Bounds for Aggressive and Conservative AdaBoost
Ludmila I. Kuncheva
161
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise
Ross A. McDonald, David J. Hand and Idris A. Eckley
161
The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns
J. Arenas-García, A. R. Figueiras-Vidal and A. J. C. Sharkey
160
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement
Šarunas Raudys and Fabio Roli
161
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions
Šarunas Raudys, Ray Somorjai and Richard Baumgartner
160
Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results
Giorgio Fumera and Fabio Roli
159
Comparison of Classifier Selection Methods for Improving Committee Performance
Matti Aksela
160
Towards Automated Classifier Combination for Pattern Recognition
Alper Baykut and Aytül Erçil
159-160
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding
Josef Kittler, Ali Ahmadyfard and David Windridge
159
Polychotomous Classification with Pairwise Classifiers: A New Voting Principle
Florin Cutzu
160
Multi-category Classification by Soft-Max Combination of Binary Classifiers
Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade and Aun Neow Poo
161
A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy
Derek Magee
159
Binary Classifier Fusion Based on the Basic Decomposition Methods
Jaepil Ko and Hyeran Byun
160
Good Error Correcting Output Codes for Adaptive Multiclass Learning
Elizabeth Tapia, José Carlos González and Javier García-Villalba
159
Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors
Hanan Ayad and Mohamed Kamel
161
An Ensemble Approach for Data Fusion with Learn++
Michael Lewitt and Robi Polikar
160
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion
David Windridge and Josef Kittler
161
Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database
Ondrej Velek, Stefan Jaeger and Masaki Nakagawa
160
Beam Search Extraction and Forgetting Strategies on Shared Ensembles
V. Estruch, C. Ferri, J. Hernández-Orallo and M. J. Ramírez-Quintana
161
A Markov Chain Approach to Multiple Classifier Fusion
S. P. Luttrell
159
A Study of Ensemble of Hybrid Networks with Strong Regularization
Shimon Cohen and Nathan Intrator
160
Combining Multiple Modes of Information Using Unsupervised Neural Classifiers
Khurshid Ahmad, Matthew Casey, Bogdan Vrusias and Panagiotis Saragiotis
161
Neural Net Ensembles for Lithology Recognition
R. O. V. Santos, M. M. B. R. Vellasco, F. A. V. Artola and S. A. B. da Fontoura
160
Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks
Hirotaka Inoue and Hiroyuki Narihisa
161
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods
Gavin Brown and Jeremy Wyatt
161
Spectral Coefficients and Classifier Correlation
Terry Windeatt, R. Ghaderi and G. Ardeshir
159
Ensemble Construction
via
Designed Output Distortion
Stefan W. Christensen
159
Simulating Classifier Outputs for Evaluating Parallel Combination Methods
H. Zouari, L. Heutte, Y. Lecourtier and A. Alimi
159
A New Ensemble Diversity Measure Applied to Thinning Ensembles
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer and W. Philip Kegelmeyer
161
Ensemble Methods for Noise Elimination in Classification Problems
Sofie Verbaeten and Anneleen Van Assche
161
New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task
Simon Günter and Horst Bunke
160
Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems
Widhyakorn Asdornwised and Somchai Jitapunkul
161
A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks
Giorgio Giacinto, Fabio Roli and Luca Didaci
159
Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition
K. Sirlantzis, S. Hoque and M. C. Fairhurst
159
Building Classifier Ensembles for Automatic Sports Classification
Edward Jaser, Josef Kittler and William Christmas
160
Classification of Aircraft Maneuvers for Fault Detection
Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer and Edward M. Huff
161
Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System
Hassan Alam, Fuad Rahman and Yuliya Tarnikova
161
Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings
Elke Wilczok and Wolfgang Lellmann
Back matter