Author Description

Multiple Classifier Systems: Second International Workshop, MCS 2001 Cambridge, UK, July 2–4, 2001 Proceedings Author: Josef Kittler, Fabio Roli Published by Springer Berlin Heidelberg ISBN: 978-3-540-42284-6 DOI: 10.1007/3-540-48219-9 Table of Contents: Bagging and the Random Subspace Method for Redundant Feature Spaces Performance Degradation in Boosting A Generalized Class of Boosting Algorithms Based on Recursive Decoding Models Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis Learning Classification RBF Networks by Boosting Data Complexity Analysis for Classifier Combination Genetic Programming for Improved Receiver Operating Characteristics Methods for Designing Multiple Classifier Systems Decision-Level Fusion in Fingerprint Verification Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition Combined Classification of Handwritten Digits Using the ‘Virtual Test Sample Method’ Averaging Weak Classifiers Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds Multiple Classifier Systems Based on Interpretable Linear Classifiers Least Squares and Estimation Measures via Error Correcting Output Code Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis Information Analysis of Multiple Classifier Fusion? Limiting the Number of Trees in Random Forests Learning-Data Selection Mechanism through Neural Networks Ensemble A Multi-SVM Classification System