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Conferences in DBLP

Intelligent Data Analysis (ida)
2003 (conf/ida/2003)

  1. A. J. Feelders, Martijn Pardoel
    Pruning for Monotone Classification Trees. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:1-12 [Conf]
  2. Eyke Hüllermeier
    Regularized Learning with Flexible Constraints. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:13-24 [Conf]
  3. Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer
    Learning to Answer Emails. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:25-35 [Conf]
  4. Axel Großmann, Matthias Wendt, Jeremy Wyatt
    A Semi-supervised Method for Learning the Structure of Robot Environment Interactions. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:36-47 [Conf]
  5. Ljupco Todorovski, Saso Dzeroski
    Using Domain Specific Knowledge for Automated Modeling. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:48-59 [Conf]
  6. Tony Lindgren, Henrik Boström
    Resolving Rule Conflicts with Double Induction. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:60-67 [Conf]
  7. Chi-Chun Huang, Hahn-Ming Lee
    A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:68-75 [Conf]
  8. Thomas R. Gabriel, Michael R. Berthold
    Constructing Hierarchical Rule Systems. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:76-87 [Conf]
  9. In-Cheol Kim, Soon-Hee Myoung
    Text Categorization Using Hybrid Multiple Model Schemes. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:88-99 [Conf]
  10. Allan Tucker, Xiaohui Liu
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:100-110 [Conf]
  11. V. Robins, J. Abernethy, N. Rooney, Elizabeth Bradley
    Topology and Intelligent Data Analysis. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:111-122 [Conf]
  12. Giulianella Coletti, Romano Scozzafava
    Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:123-133 [Conf]
  13. Paul R. Cohen, Charles A. Sutton
    Very Predictive Ngrams for Space-Limited Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:134-142 [Conf]
  14. Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez
    Interval Estimation Naïve Bayes. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:143-154 [Conf]
  15. Peter Mutschke
    Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:155-166 [Conf]
  16. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
    Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:167-178 [Conf]
  17. Boris Kryzhanovsky, Leonid B. Litinskii, Anatoly Fonarev
    An Effective Associative Memory for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:179-186 [Conf]
  18. Axel E. Bernal, Karen Hospevian, Tayfun Karadeniz, Jean-Louis Lassez
    Similarity Based Classification. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:187-197 [Conf]
  19. Fernando Berzal Galiano, Juan C. Cubero, Nicolás Marín, Daniel Sánchez
    Numerical Attributes in Decision Trees: A Hierarchical Approach. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:198-207 [Conf]
  20. Igor Fischer
    Similarity-Based Neural Networks for Applications in Computational Molecular Biology. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:208-218 [Conf]
  21. Petr Savický, Johannes Fürnkranz
    Combining Pairwise Classifiers with Stacking. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:219-229 [Conf]
  22. Branko Kavsek, Nada Lavrac, Viktor Jovanoski
    APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:230-241 [Conf]
  23. Mihai Oltean, Crina Grosan
    Solving Classification Problems Using Infix Form Genetic Programming. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:242-253 [Conf]
  24. Frank Klawonn, Frank Höppner
    What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:254-264 [Conf]
  25. Allou Samé, Christophe Ambroise, Gérard Govaert
    A Mixture Model Approach for Binned Data Clustering. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:265-274 [Conf]
  26. János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva
    Fuzzy Clustering Based Segmentation of Time-Series. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:275-285 [Conf]
  27. Peter Merz
    An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:286-296 [Conf]
  28. Chun-Hung Tzeng, Fu-Shing Sun
    Data Clustering in Tolerance Space. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:297-306 [Conf]
  29. Hanan Ayad, Mohamed S. Kamel
    Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:307-318 [Conf]
  30. Dimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy, Yannis Manolopoulos
    Clustering Mobile Trajectories for Resource Allocation in Mobile Environments. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:319-329 [Conf]
  31. Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer
    Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:330-340 [Conf]
  32. Elena V. Samsonova, Thomas Bäck, Margot W. Beukers, Adriaan P. IJzerman, Joost N. Kok
    Combining and Comparing Cluster Methods in a Receptor Database. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:341-351 [Conf]
  33. Hiroshi Mamitsuka
    Selective Sampling with a Hierarchical Latent Variable Model. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:352-363 [Conf]
  34. Paul O'Neill, George D. Magoulas, Xiaohui Liu
    Obtaining Quality Microarray Data via Image Reconstruction. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:364-375 [Conf]
  35. Heiko Hofer, Christian Borgelt, Michael R. Berthold
    Large Scale Mining of Molecular Fragments with Wildcards. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:376-385 [Conf]
  36. Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev
    Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:386-396 [Conf]
  37. Liliana Ironi, Stefania Tentoni
    Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:397-408 [Conf]
  38. Ashwani Kumar, D. P. Agrawal, S. D. Joshi
    Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:409-417 [Conf]
  39. Christine Steinhoff, Tobias Müller, Ulrike A. Nuber, Martin Vingron
    Gaussian Mixture Density Estimation Applied to Microarray Data. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:418-429 [Conf]
  40. Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu
    Classification of Protein Localisation Patterns via Supervised Neural Network Learning. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:430-439 [Conf]
  41. Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker
    Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:440-450 [Conf]
  42. Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers
    The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:451-461 [Conf]
  43. Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben
    A Multiagent-Based Constructive Approach for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:462-473 [Conf]
  44. Ingo Renners, Adolf Grauel
    Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:474-485 [Conf]
  45. Grace W. Rumantir, Chris S. Wallace
    Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:486-496 [Conf]
  46. Susana Vegas-Azcárate, Jorge Muruzábal
    On the Use of the GTM Algorithm for Mode Detection. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:497-508 [Conf]
  47. Marta Avalos, Yves Grandvalet, Christophe Ambroise
    Regularization Methods for Additive Models. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:509-520 [Conf]
  48. Toni M. Rath, Maximo Carreras, Paola Sebastiani
    Automated Detection of Influenza Epidemics with Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:521-532 [Conf]
  49. Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen
    Guided Incremental Construction of Belief Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:533-543 [Conf]
  50. Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons
    Distributed Regression for Heterogeneous Data Sets. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:544-553 [Conf]
  51. Agnes Boskovitz, Rajeev Goré, Markus Hegland
    A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:554-565 [Conf]
  52. Ahlame Chouakria-Douzal
    Compression Technique Preserving Correlations of a Multivariate Temporal Sequence. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:566-577 [Conf]
  53. François Rioult, Bruno Crémilleux
    Condensed Representations in Presence of Missing Values. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:578-588 [Conf]
  54. Elena Montañés, Javier Fernández, Irene Díaz, Elías F. Combarro, José Ranilla
    Measures of Rule Quality for Feature Selection in Text Categorization. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:589-598 [Conf]
  55. Leila Shila Shafti, Eduardo Pérez
    Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:599-610 [Conf]
  56. Yasusi Sinohara, Teruhisa Miura
    Active Feature Selection Based on a Very Limited Number of Entities. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:611-622 [Conf]
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System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
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