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Produktbild: Machine Learning and Data Mining in Pattern Recognition

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

Aus der Reihe Lecture Notes in Computer Science

49,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.07.2001

Herausgeber

Petra Perner

Verlag

Springer Berlin

Seitenzahl

363

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

531 g

Auflage

2001

Sprache

Englisch

ISBN

978-3-540-42359-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.07.2001

Herausgeber

Petra Perner

Verlag

Springer Berlin

Seitenzahl

363

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

531 g

Auflage

2001

Sprache

Englisch

ISBN

978-3-540-42359-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Machine Learning and Data Mining in Pattern Recognition
  • 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.