Machine Learning and Data Mining in Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views
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   Chapter 2 Predicting Target Events in Industrial Domains
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   Chapter 3 Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display
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   Chapter 4 Global Flow and Temporal-Shape Descriptors for Human Action Recognition from 3D Reconstruction Data
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   Chapter 5 Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques
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   Chapter 6 Detecting Large Concept Extensions for Conceptual Analysis
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   Chapter 7 Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA
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   Chapter 8 Towards an Efficient Method of Modeling “Next Best Action” for Digital Buyer’s Journey in B2B
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    Chapter 9 Detecting Relative Anomaly
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    Chapter 10 Optimization for Large-Scale Machine Learning with Distributed Features and Observations
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    Chapter 11 CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm
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    Chapter 12 Sparse Dynamic Time Warping
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    Chapter 13 Improving a Bayesian Decision Model for Supporting Diagnosis of Alzheimer’s Disease and Related Disorders
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    Chapter 14 Over-Fitting in Model Selection with Gaussian Process Regression
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    Chapter 15 Machine Learning-as-a-Service and Its Application to Medical Informatics
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    Chapter 16 Anomaly Detection from Kepler Satellite Time-Series Data
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    Chapter 17 Prediction of Insurance Claim Severity Loss Using Regression Models
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    Chapter 18 A Spectral Clustering Method for Large-Scale Geostatistical Datasets
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    Chapter 19 Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
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    Chapter 20 Mobile Robot Localization via Machine Learning
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    Chapter 21 An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity
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    Chapter 22 Summarization-Guided Greedy Optimization of Machine Learning Model
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    Chapter 23 Clustering Aided Support Vector Machines
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    Chapter 24 Mining Player Ranking Dynamics in Team Sports
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    Chapter 25 ivhd: A Robust Linear-Time and Memory Efficient Method for Visual Exploratory Data Analysis
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    Chapter 26 Personalized Visualization Based upon Wavelet Transform for Interactive Software Customization
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    Chapter 27 Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks
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    Chapter 28 High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry
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    Chapter 29 You Are What You Tweet: A New Hybrid Model for Sentiment Analysis
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    Chapter 30 Mining Frequent Closed Set Distinguishing One Dataset from Another from a Viewpoint of Structural Index
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    Chapter 31 Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios