Table of Contents

• Ensemble Methods in Machine LearningThomas G. Dietterich. 1-15 [doi]
• Experiments with Classifier Combining RulesRobert P. W. Duin, David M. J. Tax. 16-29 [doi]
• The Test and Select Approach to Ensemble CombinationAmanda J. C. Sharkey, Noel E. Sharkey, Uwe Gerecke, Gopinath Odayammadath Chandroth. 30-44 [doi]
• A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDARSargur N. Srihari. 45-51 [doi]
• Multiple Classifier Combination Methodologies for Different Output LevelsChing Y. Suen, Louisa Lam. 52-66 [doi]
• A Mathematically Rigorous Foundation for Supervised LearningEugene M. Kleinberg. 67-76 [doi]
• Classifier Combinations: Implementations and Theoretical IssuesLouisa Lam. 77-86 [doi]
• Some Results on Weakly Accurate Base Learners for Boosting Regression and ClassificationWenxin Jiang. 87-96 [doi]
• Complexity of Classification Problems and Comparative Advantages of Combined ClassifiersTin Kam Ho. 97-106 [doi]
• Effectiveness of Error Correcting Output Codes in Multiclass Learning ProblemsFrancesco Masulli, Giorgio Valentini. 107-116 [doi]
• Combining Fisher Linear Discriminants for Dissimilarity RepresentationsElzbieta Pekalska, Marina Skurichina, Robert P. W. Duin. 117-126 [doi]
• A Learning Method of Feature Selection for Rough ClassificationKatsuhiko Takahashi, Atsushi Sato. 127-136 [doi]
• Analysis of a Fusion Method for Combining Marginal ClassifiersMark D. Happel, Peter Bock. 137-146 [doi]
• A Hybrid Projection Based and Radial Basis Function ArchitectureShimon Cohen, Nathan Intrator. 147-156 [doi]
• Combining Multiple Classifiers in Probabilistic Neural NetworksJiri Grim, Josef Kittler, Pavel Pudil, Petr Somol. 157-166 [doi]
• Supervised Classifier Combination through Generalized Additive Multi-modelClaudio Conversano, Roberta Siciliano, Francesco Mola. 167-176 [doi]
• Dynamic Classifier SelectionGiorgio Giacinto, Fabio Roli. 177-189 [doi]
• Boosting in Linear Discriminant AnalysisMarina Skurichina, Robert P. W. Duin. 190-199 [doi]
• Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT CombinationPatrice Latinne, Olivier Debeir, Christine Decaestecker. 200-209 [doi]
• Applying Boosting to Similarity Literals for Time Series ClassificationJuan J. Rodríguez Diez, Carlos Alonso González. 210-219 [doi]
• Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GISCesare Furlanello, Stefano Merler. 220-229 [doi]
• A New Evaluation Method for Expert Combination in Multi-expert System DesigningSebastiano Impedovo, A. Salzo. 230-239 [doi]
• Diversity between Neural Networks and Decision Trees for Building Multiple Classifier SystemsWenjia Wang, Phillis Jones, Derek Partridge. 240-249 [doi]
• Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier SystemsNiall Griffith, Derek Partridge. 250-259 [doi]
• Classifier Instability and PartitioningTerry Windeatt. 260-269 [doi]
• A Hierarchical Multiclassifier System for Hyperspectral Data AnalysisShailesh Kumar, Joydeep Ghosh, Melba M. Crawford. 270-279 [doi]
• Consensus Based Classification of Multisource Remote Sensing DataJon Atli Benediktsson, Johannes R. Sveinsson. 280-289 [doi]
• Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover MapsLorenzo Bruzzone, Roberto Cossu, Diego Fernández Prieto. 290-299 [doi]
• A Multiple Self-Organizing Map Scheme for Remote Sensing ClassificationWeijian Wan, Donald Fraser. 300-309 [doi]
• Use of Lexicon Density in Evaluating Word RecognizersPetr Slavík, Venu Govindaraju. 310-319 [doi]
• A Multi-expert System for Dynamic Signature VerificationVincenzo Di Lecce, Giovanni Dimauro, Andrea Guerriero, Sebastiano Impedovo, Giuseppe Pirlo, A. Salzo. 320-329 [doi]
• A Cascaded Multiple Expert System for VerificationLuigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento. 330-339 [doi]
• Architecture for Classifier Combination Using Entropy MeasuresKrassimir G. Ianakiev, Venu Govindaraju. 340-350 [doi]
• Combining Fingerprint ClassifiersRaffaele Cappelli, Dario Maio, Davide Maltoni. 351-361 [doi]
• Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition FrameworkBernhard Fröba, Constanze Rothe, Christian Küblbeck. 362-371 [doi]
• A Modular Neuro-Fuzzy Network for Musical Instruments ClassificationAnna Maria Fanelli, Giovanna Castellano, Cosimo Alessandro Buscicchio. 372-382 [doi]
• Classifier Combination for Grammar-Guided Sentence RecognitionXiaoyi Jiang, Keren Yu, Horst Bunke. 383-392 [doi]
• Shape Matching and Extraction by an Array of Figure-and-Ground ClassifiersItsuo Kumazawa. 393-402 [doi]