AI 2017: Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Context-Aware Recommender Systems Based on Item-Grain Context Clustering
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   Chapter 2 Competitive Reinforcement Learning in Atari Games
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   Chapter 3 Density-Based Multiscale Analysis for Clustering in Strong Noise Settings
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   Chapter 4 Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching
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   Chapter 5 Multiple Kernel Learning with One-Level Optimization of Radius and Margin
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   Chapter 6 A Deterministic Actor-Critic Approach to Stochastic Reinforcements
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   Chapter 7 SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks
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   Chapter 8 Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts
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    Chapter 9 Use of a Non-nested Formulation to Improve Search for Bilevel Optimization
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    Chapter 10 Let’s Consider Two Objectives When Estimating Hand Postures
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    Chapter 11 Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization
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    Chapter 12 An Integer Linear Programming Model for Binary Knapsack Problem with Dependent Item Values
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    Chapter 13 A ‘Breadcrumbs’ Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device
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    Chapter 14 Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing
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    Chapter 15 Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data
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    Chapter 16 Comprehensive Quality-Aware Automated Semantic Web Service Composition
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    Chapter 17 Monthly Rainfall Categorization Based on Optimized Features and Neural Network
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    Chapter 18 Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering
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    Chapter 19 Random Set to Interpret Topic Models in Terms of Ontology Concepts
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    Chapter 20 Improving Authorship Attribution in Twitter Through Topic-Based Sampling
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    Chapter 21 Textual Emotion Classification: An Interoperability Study on Cross-Genre Data Sets
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    Chapter 22 Integrating LDA with Clustering Technique for Relevance Feature Selection
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    Chapter 23 Non Sub-sampled Contourlet Transform Based Feature Extraction Technique for Differentiating Glioma Grades Using MRI Images
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    Chapter 24 Large-Scale Automatic Species Identification
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    Chapter 25 On the Combination of Argumentation Solvers into Parallel Portfolios
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    Chapter 26 Exploring the Use of Case-Based Reasoning to Play Eurogames
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    Chapter 27 Min-Max Message Passing and Local Consistency in Constraint Networks
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    Chapter 28 Deterministic Tournament Selection in Local Search for Maximum Edge Weight Clique on Large Sparse Graphs
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    Chapter 29 Robust Lasso Regression with Student-t Residuals