Abstract is missing.
- Classifier Ensembles for Changing EnvironmentsLudmila I. Kuncheva. 1-15 [doi]
- A Generic Sensor Fusion Problem: Classification and Function EstimationNageswara S. V. Rao. 16-30 [doi]
- AveBoost2: Boosting for Noisy DataNikunj C. Oza. 31-40 [doi]
- Bagging Decision Multi-treesVicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana. 41-51 [doi]
- Learn++.MT: A New Approach to Incremental LearningMichael Muhlbaier, Apostolos Topalis, Robi Polikar. 52-61 [doi]
- Beyond Boosting: Recursive ECOC Learning MachinesElizabeth Tapia, José Carlos González, Alexander Hütermann, L. Javier García-Villalba. 62-71 [doi]
- Exact Bagging with k-Nearest Neighbour ClassifiersBruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman. 72-81 [doi]
- Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy ApproachMarco Saerens, François Fouss. 82-91 [doi]
- Combining One-Class Classifiers to Classify Missing DataPiotr Juszczak, Robert P. W. Duin. 92-101 [doi]
- Combining Kernel Information for Support Vector ClassificationIsaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz. 102-111 [doi]
- Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error RateHee-Joong Kang. 112-121 [doi]
- Combining Dissimilarity-Based One-Class ClassifiersElzbieta Pekalska, Marina Skurichina, Robert P. W. Duin. 122-133 [doi]
- A Modular System for the Classification of Time Series DataLei Chen, Mohamed Kamel, Ju Jiang. 134-143 [doi]
- A Probabilistic Model Using Information Theoretic Measures for Cluster EnsemblesHanan Ayad, Otman A. Basir, Mohamed Kamel. 144-153 [doi]
- Classifier Fusion Using Triangular NormsPiero P. Bonissone, Kai Goebel, Weizhong Yan. 154-163 [doi]
- Dynamic Integration of Regression ModelsNiall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal. 164-173 [doi]
- Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood RuleLuca Didaci, Giorgio Giacinto. 174-183 [doi]
- Spectral Measure for Multi-class ProblemsTerry Windeatt. 184-193 [doi]
- The Relationship between Classifier Factorisation and Performance in Stochastic Vector QuantisationDavid Windridge, Robin Patenall, Josef Kittler. 194-203 [doi]
- A Method for Designing Cost-Sensitive ECOCClaudio Marrocco, Francesco Tortorella. 204-213 [doi]
- Building Graph-Based Classifier Ensembles by Random Node SelectionAdam Schenker, Horst Bunke, Mark Last, Abraham Kandel. 214-222 [doi]
- A Comparison of Ensemble Creation TechniquesRobert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich. 223-232 [doi]
- Multiple Classifiers System for Reducing Influences of Atypical ObservationsSarunas Raudys, Masakazu Iwamura. 233-242 [doi]
- Sharing Training Patterns among Multiple ClassifiersRozita A. Dara, Mohamed S. Kamel. 243-252 [doi]
- First Experiments on Ensembles of Radial Basis FunctionsCarlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra. 253-262 [doi]
- Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance AnalysisGiorgio Valentini. 263-272 [doi]
- Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two ClassifiersHéla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi. 273-282 [doi]
- An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass ProblemsSuju Rajan, Joydeep Ghosh. 283-292 [doi]
- Experiments on Ensembles with Missing and Noisy DataPrem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney. 293-302 [doi]
- Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of SignDavid Windridge, Richard Bowden. 303-313 [doi]
- Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting RecognitionSimon Günter, Horst Bunke. 314-323 [doi]
- Network Intrusion Detection by a Multi-stage Classification SystemLuigi P. Cordella, Alessandro Limongiello, Carlo Sansone. 324-333 [doi]
- Application of Breiman s Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical MoleculesVladimir Svetnik, Andy Liaw, Christopher Tong, Ting Wang. 334-343 [doi]
- Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data ClassificationXiaogang Wang, Xiaoou Tang. 344-353 [doi]
- Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face VerificationJosef Kittler, Mohammad Sadeghi. 354-363 [doi]
- High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple MatchersGian Luca Marcialis, Fabio Roli. 364-373 [doi]
- Second Guessing a Commercial Black Box Classifier by an In House Classifier: Serial Classifier Combination in a Speech Recognition ApplicationFuad Rahman, Yuliya Tarnikova, Aman Kumar, Hassan Alam. 374-383 [doi]