• 
  Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer: Feature Characterization in Scientific Datasets. 1-12
• 
  Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete: Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation. 13-23
• 
  Anne Laurent: Generating Fuzzy Summaries from Fuzzy Multidimensional Databases. 24-33
• 
  Andrew Estabrooks, Nathalie Japkowicz: A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. 34-43
• 
  Achim Lewandowski, Peter Protzel: Predicting Time-Varying Functions with Local Models. 44-52
• 
  Cen Li, Gautam Biswas, Mike B. Dale, Pat Dale: Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study. 53-62
• 
  Nuno M. C. Marques, José Gabriel Pereira Lopes: Tagging with Small Training Corpora. 63-72
• 
  Udo Hahn, Martin Honeck, Stefan Schulz: A Search Engine for Morphologically Complex Languages. 73-83
• 
  Renato Bruni, Antonio Sassano: Errors Detection and Correction in Large Scale Data Collecting. 84-94
• 
  Fernando Berzal Galiano, Ignacio J. Blanco, Daniel Sánchez, María Amparo Vila Miranda: A New Framework to Assess Association Rules. 95-104
• 
  Corinna Cortes, Daryl Pregibon, Chris Volinsky: Communities of Interest. 105-114
• 
  Alexander K. Seewald, Johannes Fürnkranz: An Evaluation of Grading Classifiers. 115-124
• 
  Frank Höppner, Frank Klawonn: Finding Informative Rules in Interval Sequences. 125-134
• 
  Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk: Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. 135-144
• 
  Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok: Nonmetric Multidimensional Scaling with Neural Networks. 145-155
• 
  Joao Gama: Functional Trees for Regression. 156-166
• 
  José Tomé A. S. Ferreira, David G. T. Denison, David J. Hand: Data Mining with Products of Trees. 167-176
• 
  Masahiro Terabe, Takashi Washio, Hiroshi Motoda: S³Bagging: Fast Classifier Induction Method with Subsampling and Bagging. 177-186
• 
  Rolf Backofen: RNA-Sequence-Structure Properties and Selenocysteine Insertion. 187-197
• 
  Paul R. Cohen, Niall M. Adams: An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. 198-207
• 
  Terry Windeatt, Gholamreza Ardeshir: An Empirical Comparison of Pruning Methods for Ensemble Classifiers. 208-217
• 
  Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker: A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. 218-227
• 
  José Luis Triviño-Rodriguez, Rafael Morales Bueno: Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging. 228-237
• 
  Fuchun Peng, Dale Schuurmans: Self-Supervised Chinese Word Segmentation. 238-247
• 
  Syed Sibte Raza Abidi, Kok Meng Hoe, Alwyn Goh: Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules. 248-257
• 
  Ryohei Nakano, Kazumi Saito: Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. 258-267
• 
  Paul R. Cohen: Fluent Learning: Elucidating the Structure of Episodes. 268-277
• 
  Sérgio Viademonte, Frada Burstein: An Intelligent Decision Support Model for Aviation Weather Forcasting. 278-288
• 
  Robert Castelo, A. J. Feelders, Arno Siebes: MAMBO: Discovering Association Rules Based on Conditional Independencies. 289-298
• 
  Richard H. Glendinning: Model Building for Random Fields. 299-308
• 
  Tobias Scheffer, Christian Decomain, Stefan Wrobel: Active Hidden Markov Models for Information Extraction. 309-318
• 
  Gabriel Somlo, Adele E. Howe: Adaptive Lightweight Text Filtering. 319-329
• 
  Hongwei Zhang, Fengzhan Tian, Yuchang Lu: A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks. 330-339
• 
  Dave Yearling, David J. Hand: Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks. 340-349
• 
  Marzena Kryszkiewicz: Closed Set Based Discovery of Representative Association Rules. 350-359
• 
  Matthew Easley, Elizabeth Bradley: Intelligent Sensor Analysis and Actuator Control. 360-369
• 
  Grace W. Rumantir, Chris S. Wallace: Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery. 370-377

The IDA'01 Robot Data Challenge

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  Paul R. Cohen, Niall M. Adams, David J. Hand: The IDA'01 Robot Data Challenge. 378-382

last updated on Fri May 24 03:09:40 2013 by the dblp team
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