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 ProceedingsAuthor: Petra Perner Published by Springer Berlin Heidelberg ISBN: 978-3-540-42359-1 DOI: 10.1007/3-540-44596-XTable of Contents:Technology of Text Mining
Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining
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-Based Ensemble Solutions for Regression
Learning XML Grammars
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
Concepts Learning with Fuzzy Clustering and Relevance Feedback
LC: A Conceptual Clustering Algorithm
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
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
Local Learning Framework for Recognition of Lowercase Handwritten Characters
Mirror Image Learning for Handwritten Numeral Recognition