5. IDA 2003:
Berlin,
Germany
Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (Eds.):
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings.
Lecture Notes in Computer Science 2810 Springer 2003, ISBN 3-540-40813-4 BibTeX
Machine Learning
- A. J. Feelders, Martijn Pardoel:
Pruning for Monotone Classification Trees.
1-12
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- Eyke Hüllermeier:
Regularized Learning with Flexible Constraints.
13-24
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- Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer:
Learning to Answer Emails.
25-35
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- Axel Großmann, Matthias Wendt, Jeremy Wyatt:
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions.
36-47
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- Ljupco Todorovski, Saso Dzeroski:
Using Domain Specific Knowledge for Automated Modeling.
48-59
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- Tony Lindgren, Henrik Boström:
Resolving Rule Conflicts with Double Induction.
60-67
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- Chi-Chun Huang, Hahn-Ming Lee:
A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure.
68-75
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- Thomas R. Gabriel, Michael R. Berthold:
Constructing Hierarchical Rule Systems.
76-87
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- In-Cheol Kim, Soon-Hee Myoung:
Text Categorization Using Hybrid Multiple Model Schemes.
88-99
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Probability and Topology
- Allan Tucker, Xiaohui Liu:
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies.
100-110
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- V. Robins, Jennifer Abernethy, N. Rooney, Elizabeth Bradley:
Topology and Intelligent Data Analysis.
111-122
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- Giulianella Coletti, Romano Scozzafava:
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events.
123-133
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- Paul R. Cohen, Charles A. Sutton:
Very Predictive Ngrams for Space-Limited Probabilistic Models.
134-142
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- Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez:
Interval Estimation Naïve Bayes.
143-154
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- Peter Mutschke:
Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks.
155-166
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Classification and Pattern Recognition
- Peter Geibel, Ulf Brefeld, Fritz Wysotzki:
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.
167-178
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- Boris Kryzhanovsky, Leonid B. Litinskii, Anatoly B. Fonarev:
An Effective Associative Memory for Pattern Recognition.
179-186
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- Axel E. Bernal, Karen Hospevian, Tayfun Karadeniz, Jean-Louis Lassez:
Similarity Based Classification.
187-197
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- Fernando Berzal Galiano, Juan C. Cubero, Nicolás Marín, Daniel Sánchez:
Numerical Attributes in Decision Trees: A Hierarchical Approach.
198-207
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- Igor Fischer:
Similarity-Based Neural Networks for Applications in Computational Molecular Biology.
208-218
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- Petr Savický, Johannes Fürnkranz:
Combining Pairwise Classifiers with Stacking.
219-229
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- Branko Kavsek, Nada Lavrac, Viktor Jovanoski:
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.
230-241
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- Mihai Oltean, Crina Grosan:
Solving Classification Problems Using Infix Form Genetic Programming.
242-253
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Clustering
- Frank Klawonn, Frank Höppner:
What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier.
254-264
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- Allou Samé, Christophe Ambroise, Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering.
265-274
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- János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva:
Fuzzy Clustering Based Segmentation of Time-Series.
275-285
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- Peter Merz:
An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering.
286-296
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- Chun-Hung Tzeng, Fu-Shing Sun:
Data Clustering in Tolerance Space.
297-306
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- Hanan Ayad, Mohamed S. Kamel:
Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings.
307-318
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- Dimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy, Yannis Manolopoulos:
Clustering Mobile Trajectories for Resource Allocation in Mobile Environments.
319-329
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- Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer:
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points.
330-340
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- Elena V. Samsonova, Thomas Bäck, Margot W. Beukers, Adriaan P. IJzerman, Joost N. Kok:
Combining and Comparing Cluster Methods in a Receptor Database.
341-351
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Applications
- Hiroshi Mamitsuka:
Selective Sampling with a Hierarchical Latent Variable Model.
352-363
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- Paul O'Neill, George D. Magoulas, Xiaohui Liu:
Obtaining Quality Microarray Data via Image Reconstruction.
364-375
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- Heiko Hofer, Christian Borgelt, Michael R. Berthold:
Large Scale Mining of Molecular Fragments with Wildcards.
376-385
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- Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev:
Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.
386-396
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- Liliana Ironi, Stefania Tentoni:
Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation.
397-408
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- Ashwani Kumar, D. P. Agrawal, S. D. Joshi:
Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market.
409-417
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- Christine Steinhoff, Tobias Müller, Ulrike A. Nuber, Martin Vingron:
Gaussian Mixture Density Estimation Applied to Microarray Data.
418-429
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- Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu:
Classification of Protein Localisation Patterns via Supervised Neural Network Learning.
430-439
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- Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker:
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software.
440-450
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- Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers:
The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction.
451-461
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Modeling
- Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
A Multiagent-Based Constructive Approach for Feedforward Neural Networks.
462-473
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- Ingo Renners, Adolf Grauel:
Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems.
474-485
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- Grace W. Rumantir, Chris S. Wallace:
Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting.
486-496
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- Susana Vegas-Azcárate, Jorge Muruzábal:
On the Use of the GTM Algorithm for Mode Detection.
497-508
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- Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Regularization Methods for Additive Models.
509-520
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- Toni M. Rath, Maximo Carreras, Paola Sebastiani:
Automated Detection of Influenza Epidemics with Hidden Markov Models.
521-532
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- Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen:
Guided Incremental Construction of Belief Networks.
533-543
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- Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Distributed Regression for Heterogeneous Data Sets.
544-553
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(Data) Preprocessing
Copyright © Sat May 16 23:22:08 2009
by Michael Ley (ley@uni-trier.de)