Machine Learning and Data Mining in Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Technology of Text Mining
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   Chapter 2 Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining
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   Chapter 3 Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
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   Chapter 4 Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
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   Chapter 5 FAM-Based Fuzzy Inference for Detecting Shot Transitions
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   Chapter 6 Rule-Based Ensemble Solutions for Regression
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   Chapter 7 Learning XML Grammars
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   Chapter 8 First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
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    Chapter 9 Concepts Learning with Fuzzy Clustering and Relevance Feedback
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    Chapter 10 LC: A Conceptual Clustering Algorithm
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    Chapter 11 Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data
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    Chapter 12 A Hybrid Tool for Data Mining in Picture Archiving System
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    Chapter 13 Feature Selection for a Real-World Learning Task
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    Chapter 14 Automatic Identification of Diatoms Using Decision Forests
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    Chapter 15 Validation of Text Clustering Based on Document Contents
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    Chapter 16 Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution
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    Chapter 17 How to Automate Neural Net Based Learning
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    Chapter 18 Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks
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    Chapter 19 Local Learning Framework for Recognition of Lowercase Handwritten Characters
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    Chapter 20 Mirror Image Learning for Handwritten Numeral Recognition
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    Chapter 21 Face Detection by Aggregated Bayesian Network Classifiers
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    Chapter 22 Towards Self-Exploring Discriminating Features
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    Chapter 23 PCA-Based Model Selection and Fitting for Linear Manifolds
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    Chapter 24 Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields
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    Chapter 25 On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples
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    Chapter 26 Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification
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    Chapter 27 Adaptive Query Shifting for Content-Based Image Retrieval
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    Chapter 28 Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases