3. MLDM 2003: Leipzig, Germany
Petra Perner, Azriel Rosenfeld (Eds.): Machine Learning and Data Mining in Pattern Recognition, Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, Proceedings. Springer 2003 Lecture Notes in Computer Science ISBN 3-540-40504-6
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

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
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
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
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



