Table of Contents

• Pruning for Monotone Classification TreesA. J. Feelders, Martijn Pardoel. 1-12 [doi]
• Regularized Learning with Flexible ConstraintsEyke Hüllermeier. 13-24 [doi]
• Learning to Answer EmailsMichael Kockelkorn, Andreas Lüneburg, Tobias Scheffer. 25-35 [doi]
• A Semi-supervised Method for Learning the Structure of Robot Environment InteractionsAxel Großmann, Matthias Wendt, Jeremy Wyatt. 36-47 [doi]
• Using Domain Specific Knowledge for Automated ModelingLjupco Todorovski, Saso Dzeroski. 48-59 [doi]
• Resolving Rule Conflicts with Double InductionTony Lindgren, Henrik Boström. 60-67 [doi]
• A Novel Partial-Memory Learning Algorithm Based on Grey Relational StructureChi-Chun Huang, Hahn-Ming Lee. 68-75 [doi]
• Constructing Hierarchical Rule SystemsThomas R. Gabriel, Michael R. Berthold. 76-87 [doi]
• Text Categorization Using Hybrid Multiple Model SchemesIn-Cheol Kim, Soon-Hee Myoung. 88-99 [doi]
• Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing DependenciesAllan Tucker, Xiaohui Liu. 100-110 [doi]
• Topology and Intelligent Data AnalysisV. Robins, Jennifer Abernethy, N. Rooney, Elizabeth Bradley. 111-122 [doi]
• Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning EventsGiulianella Coletti, Romano Scozzafava. 123-133 [doi]
• Very Predictive Ngrams for Space-Limited Probabilistic ModelsPaul R. Cohen, Charles A. Sutton. 134-142 [doi]
• Interval Estimation Naïve BayesVíctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez. 143-154 [doi]
• Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author NetworksPeter Mutschke. 155-166 [doi]
• Learning Linear Classifiers Sensitive to Example Dependent and Noisy CostsPeter Geibel, Ulf Brefeld, Fritz Wysotzki. 167-178 [doi]
• An Effective Associative Memory for Pattern RecognitionBoris Kryzhanovsky, Leonid B. Litinskii, Anatoly B. Fonarev. 179-186 [doi]
• Similarity Based ClassificationAxel E. Bernal, Karen Hospevian, Tayfun Karadeniz, Jean-Louis Lassez. 187-197 [doi]
• Numerical Attributes in Decision Trees: A Hierarchical ApproachFernando Berzal Galiano, Juan C. Cubero, Nicolás Marín, Daniel Sánchez. 198-207 [doi]
• Similarity-Based Neural Networks for Applications in Computational Molecular BiologyIgor Fischer. 208-218 [doi]
• Combining Pairwise Classifiers with StackingPetr Savický, Johannes Fürnkranz. 219-229 [doi]
• APRIORI-SD: Adapting Association Rule Learning to Subgroup DiscoveryBranko Kavsek, Nada Lavrac, Viktor Jovanoski. 230-241 [doi]
• Solving Classification Problems Using Infix Form Genetic ProgrammingMihai Oltean, Crina Grosan. 242-253 [doi]
• What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the FuzzifierFrank Klawonn, Frank Höppner. 254-264 [doi]
• A Mixture Model Approach for Binned Data ClusteringAllou Samé, Christophe Ambroise, Gérard Govaert. 265-274 [doi]
• Fuzzy Clustering Based Segmentation of Time-SeriesJános Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva. 275-285 [doi]
• An Iterated Local Search Approach for Minimum Sum-of-Squares ClusteringPeter Merz. 286-296 [doi]
• Data Clustering in Tolerance SpaceChun-Hung Tzeng, Fu-Shing Sun. 297-306 [doi]
• Refined Shared Nearest Neighbors Graph for Combining Multiple Data ClusteringsHanan Ayad, Mohamed S. Kamel. 307-318 [doi]
• Clustering Mobile Trajectories for Resource Allocation in Mobile EnvironmentsDimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy, Yannis Manolopoulos. 319-329 [doi]
• Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling PointsCarla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer. 330-340 [doi]
• Combining and Comparing Cluster Methods in a Receptor DatabaseElena V. Samsonova, Thomas Bäck, Margot W. Beukers, Adriaan P. IJzerman, Joost N. Kok. 341-351 [doi]
• Selective Sampling with a Hierarchical Latent Variable ModelHiroshi Mamitsuka. 352-363 [doi]
• Obtaining Quality Microarray Data via Image ReconstructionPaul O Neill, George D. Magoulas, Xiaohui Liu. 364-375 [doi]
• Large Scale Mining of Molecular Fragments with WildcardsHeiko Hofer, Christian Borgelt, Michael R. Berthold. 376-385 [doi]
• Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment KernelLeo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev. 386-396 [doi]
• Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial AggregationLiliana Ironi, Stefania Tentoni. 397-408 [doi]
• Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-MarketAshwani Kumar, D. P. Agrawal, S. D. Joshi. 409-417 [doi]
• Gaussian Mixture Density Estimation Applied to Microarray DataChristine Steinhoff, Tobias Müller, Ulrike A. Nuber, Martin Vingron. 418-429 [doi]
• Classification of Protein Localisation Patterns via Supervised Neural Network LearningAristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu. 430-439 [doi]
• Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented SoftwareSteve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker. 440-450 [doi]
• The Smaller the Better: Comparison of Two Approaches for Sales Rate PredictionMartin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers. 451-461 [doi]
• A Multiagent-Based Constructive Approach for Feedforward Neural NetworksClodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben. 462-473 [doi]
• Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy SystemsIngo Renners, Adolf Grauel. 474-485 [doi]
• Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity ForecastingGrace W. Rumantir, Chris S. Wallace. 486-496 [doi]
• On the Use of the GTM Algorithm for Mode DetectionSusana Vegas-Azcárate, Jorge Muruzábal. 497-508 [doi]
• Regularization Methods for Additive ModelsMarta Avalos, Yves Grandvalet, Christophe Ambroise. 509-520 [doi]
• Automated Detection of Influenza Epidemics with Hidden Markov ModelsToni M. Rath, Maximo Carreras, Paola Sebastiani. 521-532 [doi]
• Guided Incremental Construction of Belief NetworksCharles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen. 533-543 [doi]
• Distributed Regression for Heterogeneous Data SetsYan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons. 544-553 [doi]
• A Logical Formalisation of the Fellegi-Holt Method of Data CleaningAgnes Boskovitz, Rajeev Goré, Markus Hegland. 554-565 [doi]
• Compression Technique Preserving Correlations of a Multivariate Temporal SequenceAhlame Douzal Chouakria. 566-577 [doi]
• Condensed Representations in Presence of Missing ValuesFrançois Rioult, Bruno Crémilleux. 578-588 [doi]
• Measures of Rule Quality for Feature Selection in Text CategorizationElena Montañés, Javier Fernández, Irene Díaz, Elías F. Combarro, José Ranilla. 589-598 [doi]
• Genetic Approach to Constructive Induction Based on Non-algebraic Feature RepresentationLeila Shila Shafti, Eduardo Pérez. 599-610 [doi]
• Active Feature Selection Based on a Very Limited Number of EntitiesYasusi Sinohara, Teruhisa Miura. 611-622 [doi]