3. MLDM 2003: Leipzig, Germany

Invited Talkes

• Susan Craw:
  Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers. 1-6
  
• Horst Bunke:
  Graph-Based Tools for Data Mining and Machine Learning. 7-19
  

Decision Trees

• Michelangelo Ceci, Annalisa Appice, Donato Malerba:
  Simplification Methods for Model Trees with Regression and Splitting Nodes. 20-34
  
• Francesco De Comité, Rémi Gilleron, Marc Tommasi:
  Learning Multi-label Alternating Decision Trees from Texts and Data. 35-49
  
• Marc Boullé:
  Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise. 50-64
  
• Angela Scaringella:
  On the Size of a Classification Tree. 65-72
  

Clustering and Its Application

• Fátima Rodrigues, F. Jorge F. Duarte, Vera Figueiredo, Zita A. Vale, Manuel Cordeiro:
  A Comparative Analysis of Clustering Algorithms Applied to Load Profiling. 73-85
  
• Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
  Similarity-Based Clustering of Sequences Using Hidden Markov Models. 86-95
  

Support Vector Machines

• Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen:
  A Fast Parallel Optimization for Training Support Vector Machine. 96-105
  
• Francesco Tortorella:
  A ROC-Based Reject Rule for Support Vector Machines. 106-120
  

Case-Based Reasoning

• Eva Armengol, Enric Plaza:
  Remembering Similitude Terms in CBR. 121-130
  
• Chunsheng Yang, Robert Orchard, Benoit Farley, Marvin Zaluski:
  Authoring Cases from Free-Text Maintenance Data. 131-140
  

Classiffication, Retrieval, and Feature Learning

• Johel Mitéran, Sebastien Bouillant, El-Bay Bourennane:
  Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation. 141-155
  
• Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
  Simple Mimetic Classifiers. 156-171
  
• Nizar Bouguila, Djemel Ziou, Jean Vaillancourt:
  Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification. 172-181
  
• Victor Mikhailovich Nedel'ko:
  Estimating a Quality of Decision Function by Empirical Risk. 182-187
  
• Abdenour Hadid, Matti Pietikäinen:
  Efficient Locally Linear Embeddings of Imperfect Manifolds. 188-201
  
• Giorgio Giacinto, Fabio Roli:
  Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval. 202-214
  
• Jamshid Dehmeshki, Mustafa Karaköy, Manlio Valdivieso Casique:
  A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set. 215-223
  
• Krzysztof Krawiec, Bir Bhanu:
  Coevolutionary Feature Learning for Object Recognition. 224-238
  

Discovery of Frequently or Sequential Patterns

• Cláudia Antunes, Arlindo L. Oliveira:
  Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints. 239-251
  
• Yoshiki Tanaka, Kuniaki Uehara:
  Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle. 252-265
  
• Kai Chun Chiu, Lei Xu:
  Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns. 266-275
  
• Camilla Magnusson, Hannu Vanharanta:
  Visualizing Sequences of Texts Using Collocational Networks. 276-283
  
• Walter A. Kosters, Wim Pijls, Viara Popova:
  Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI. 284-292
  

Bayesian Models and Methods

• Marion Leleu, Christophe Rigotti, Jean-François Boulicaut, Guillaume Euvrard:
  GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions. 293-306
  
• Rainer Deventer, Joachim Denzler, Heinrich Niemann, Oliver Kreis:
  Using Test Plans for Bayesian Modeling. 307-316
  
• In-Cheol Kim, Yong-Gyu Jung:
  Using Bayesian Networks to Analyze Medical Data. 317-327
  
• Ludovic Denoyer, Patrick Gallinari:
  A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization. 328-342
  
• Arpad Barsi:
  Neural Self-Organization Using Graphs. 343-352
  
• Mehmet Kaya, Reda Alhajj:
  Integrating Fuzziness with OLAP Association Rules Mining. 353-368
  
• Bon K. Sy:
  Discovering Association Patterns Based on Mutual Information. 369-378
  

Applications

• Lilia Lazli, Mokhtar Sellami:
  Connectionist Probability Estimators in HMM Arabic Speech Recognition Using Fuzzy Logic. 379-388
  
• Kazuhiko Kawamoto, Atsushi Imiya, Kaoru Hirota:
  Shape Recovery from an Unorganized Image Sequence. 389-399
  
• Klaus-Dieter Kuhnert, Michael Krödel:
  A Learning Autonomous Driver System on the Basis of Image Classification and Evolutional Learning. 400-412
  
• Atsushi Imiya, Ken Tatara, Hisashi Ootani, Václav Hlavác:
  Detecting the Boundary Curve of Planar Random Point Set. 413-424
  
• Benjamin Piwowarski, Patrick Gallinari:
  A Machine Learning Model for Information Retrieval with Structured Documents. 425-438
  

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