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ORCID3. MLDM 2003: Leipzig, Germany
- Petra Perner, Azriel Rosenfeld:
Machine Learning and Data Mining in Pattern Recognition, Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, Proceedings. Lecture Notes in Computer Science 2734, Springer 2003, 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
- 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 - Árpád 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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