Machine Learning, Optimization, and Big Data

Table of Contents

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   Book Overview
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   Chapter 1 Machine Learning: Multi-site Evidence-Based Best Practice Discovery
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   Chapter 2 Data-Based Forest Management with Uncertainties and Multiple Objectives
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   Chapter 3 Metabolic Circuit Design Automation by Multi-objective BioCAD
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   Chapter 4 A Nash Equilibrium Approach to Metabolic Network Analysis
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   Chapter 5 A Blocking Strategy for Ranking Features According to Probabilistic Relevance
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   Chapter 6 A Scalable Biclustering Method for Heterogeneous Medical Data
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   Chapter 7 Neural Learning of Heuristic Functions for General Game Playing
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   Chapter 8 Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations
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    Chapter 9 Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study
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    Chapter 10 Feature Selection via Co-regularized Sparse-Group Lasso
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    Chapter 11 Economic Lot-Sizing Problem with Remanufacturing Option: Complexity and Algorithms
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    Chapter 12 A Branch-and-Cut Algorithm for a Multi-item Inventory Distribution Problem
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    Chapter 13 Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors
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    Chapter 14 Design of Acoustic Metamaterials Through Nonlinear Programming
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    Chapter 15 Driver Maneuvers Inference Through Machine Learning
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    Chapter 16 A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data
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    Chapter 17 Large-Scale Bandit Recommender System
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    Chapter 18 Automatic Generation of Sitemaps Based on Navigation Systems
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    Chapter 19 A Customer Relationship Management Case Study Based on Banking Data
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    Chapter 20 Lagrangian Relaxation Bounds for a Production-Inventory-Routing Problem
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    Chapter 21 Convergence Rate Evaluation of Derivative-Free Optimization Techniques
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    Chapter 22 The Learnability of Business Rules
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    Chapter 23 Dynamic Programming with Approximation Function for Nurse Scheduling
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    Chapter 24 Breast Cancer’s Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations
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    Chapter 25 Optimizing the Location of Helicopter Emergency Medical Service Operating Sites
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    Chapter 26 An Enhanced Infra-Chromatic Bound for the Maximum Clique Problem
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    Chapter 27 Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem
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    Chapter 28 Combining Genetic Algorithm with the Multilevel Paradigm for the Maximum Constraint Satisfaction Problem
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    Chapter 29 Implicit Location Sharing Detection in Social Media Turkish Text Messaging
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    Chapter 30 Fuzzy Decision-Making of a Process for Quality Management
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    Chapter 31 A Bayesian Network Profiler for Wildfire Arsonists
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    Chapter 32 Learning Optimal Decision Lists as a Metaheuristic Search for Diagnosis of Parkinson’s Disease
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    Chapter 33 Hermes: A Distributed-Messaging Tool for NLP
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    Chapter 34 Deep Learning for Classification of Dental Plaque Images
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    Chapter 35 Multiscale Integration for Pattern Recognition in Neuroimaging
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    Chapter 36 Game Theoretical Tools for Wing Design
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    Chapter 37 Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations
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    Chapter 38 Big Data Analytics in a Public General Hospital
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    Chapter 39 Inference of Gene Regulatory Network Based on Radial Basis Function Neural Network
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    Chapter 40 Establishment of Optimal Control Strategy of Building-Integrated Photovoltaic Blind Slat Angle by Considering Interior Illuminance and Electricity Generation