Machine Learning and Data Mining in Pattern Recognition: Second International Workshop, Mldm 2001, Leipzig, Germany, July 25-27, 2001, Proceedings

International Workshop Mldm 200 (2001 Leipzig, Germany)/ Perner, Petra (Editor)/ Perner, Petra

ISBN 10: 3540423591 / ISBN 13: 9783540423591

Editore: Springer Verlag, 2002

Riguardo questo articolo

1st edition. 361 pages. 9.50x6.25x1.00 inches. In Stock.

Codice articolo __3540423591

Dati bibliografici

• Titolo: Machine Learning and Data Mining in Pattern Recognition: Second International Workshop, Mldm 2001, Leipzig, Germany, July 25-27, 2001, Proceedings
• Editore: Springer Verlag
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 3540423591
• ISBN 13: 9783540423591
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 0,57 chilogrammi

Descrizione articolo

Riassunto

Proceedings of the Second Intl Workshop, MLDM 2001, held in Leipzig, Germany, July 25-27, 2000. Papers are organized in topical sections on case-based reasoning and associative memory. Softcover.

Contenuti

Invited Paper.- Technology of Text Mining.- Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining.- Case-Based Reasoning and Associative Memory.- Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications.- Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?.- FAM-Based Fuzzy Inference for Detecting Shot Transitions.- Rule Induction and Grammars.- Rule-Based Ensemble Solutions for Regression.- Learning XML Grammars.- First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps.- Clustering and Conceptual Clustering.- Concepts Learning with Fuzzy Clustering and Relevance Feedback.- LC: A Conceptual Clustering Algorithm.- Data Mining on Signal, Images, Text and Temporal-Spatial Data.- Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data.- A Hybrid Tool for Data Mining in Picture Archiving System.- Feature Selection for a Real-World Learning Task.- Automatic Identification of Diatoms Using Decision Forests.- Validation of Text Clustering Based on Document Contents.- Nonlinear Function Learning and Neural Net Based Learning.- Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution.- How to Automate Neural Net Based Learning.- Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks.- Learning for Handwriting Recognition.- Local Learning Framework for Recognition of Lowercase Handwritten Characters.- Mirror Image Learning for Handwritten Numeral Recognition.- Statistical and Evolutionary Learning.- Face Detection by Aggregated Bayesian Network Classifiers.- Towards Self-Exploring Discriminating Features.- PCA-Based Model Selection and Fitting for Linear Manifolds.- Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields.- On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples.- Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification.- Content-Based Image Retrieval.- Adaptive Query Shifting for Content-Based Image Retrieval.- Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases.