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Machine Learning and Data Mining in Pattern Recognition

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Cover of 'Machine Learning and Data Mining in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 The Gapped Spectrum Kernel for Support Vector Machines
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    Chapter 2 Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning
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    Chapter 3 Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks
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    Chapter 4 Multi Model Transfer Learning with RULES Family
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    Chapter 5 3D Geovisualisation Techniques Applied in Spatial Data Mining
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    Chapter 6 Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow
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    Chapter 7 Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words
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    Chapter 8 Classification and Outlier Detection Based on Topic Based Pattern Synthesis
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    Chapter 9 Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition
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    Chapter 10 Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering
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    Chapter 11 Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease
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    Chapter 12 Multi-document Text Summarization Using Topic Model and Fuzzy Logic
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    Chapter 13 Machine Learning and Data Mining in Pattern Recognition
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    Chapter 14 Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation
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    Chapter 15 Relevance as a Metric for Evaluating Machine Learning Algorithms
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    Chapter 16 Preceding Rule Induction with Instance Reduction Methods
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    Chapter 17 Analytic Feature Selection for Support Vector Machines
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    Chapter 18 Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform
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    Chapter 19 SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms
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    Chapter 20 Machine Learning and Data Mining in Pattern Recognition
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    Chapter 21 Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction
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    Chapter 22 Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results
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    Chapter 23 A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion
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    Chapter 24 Relation Decomposition: The Theory
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    Chapter 25 Using Turning Point Detection to Obtain Better Regression Trees
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    Chapter 26 Automatic Classification of Web Databases Using Domain-Dictionaries
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    Chapter 27 An Efficient and Scalable Algorithm for Mining Maximal
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    Chapter 28 Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station
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    Chapter 29 Smart Meter Data Analysis for Power Theft Detection
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    Chapter 30 Discovering Frequent Itemsets on Uncertain Data: A Systematic Review
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    Chapter 31 Mining Groups of Common Interest: Discovering Topical Communities with Network Flows
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    Chapter 32 Optimal Time Segments for Stress Detection
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    Chapter 33 Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification
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    Chapter 34 A Comparative Study on Mobile Visual Recognition
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    Chapter 35 Accuracy-Based Classification EM: Combining Clustering with Prediction
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    Chapter 36 When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
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    Chapter 37 Lazy Overfitting Control
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    Chapter 38 Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish
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    Chapter 39 An Empirical Study of Reducing Multiclass Classification Methodologies
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    Chapter 40 EEG Feature Selection Based on Time Series Classification
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    Chapter 41 DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines
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    Chapter 42 Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine
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    Chapter 43 TISA: Topic Independence Scoring Algorithm
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    Chapter 44 Pre-release Box-Office Success Prediction for Motion Pictures
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    Chapter 45 Shifting Concepts to Their Associative Concepts via Bridges
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    Chapter 46 Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data
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    Chapter 47 A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators
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    Chapter 48 Large Scale Visual Classification with Many Classes
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    Chapter 49 Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers
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