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

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  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

last updated on Thu May 23 03:37:50 2013 by the dblp team
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