Table of Contents

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   Book Overview
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   Chapter 1 Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy
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   Chapter 2 De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency
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   Chapter 3 A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits
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   Chapter 4 Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning
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   Chapter 5 Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines
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   Chapter 6 Advice-Based Exploration in Model-Based Reinforcement Learning
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   Chapter 7 Deep Super Learner: A Deep Ensemble for Classification Problems
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   Chapter 8 One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
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    Chapter 9 MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning
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    Chapter 10 Reranking Candidate Lists for Improved Lexical Induction
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    Chapter 11 Analysis of Social Media Posts for Early Detection of Mental Health Conditions
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    Chapter 12 Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal
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    Chapter 13 Mobile App for Detection of Counterfeit Banknotes
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    Chapter 14 A Multiagent Framework for Understanding Addiction
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    Chapter 15 Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour
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    Chapter 16 An Incremental Machine Learning Algorithm for Nuclear Forensics
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    Chapter 17 MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models
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    Chapter 18 Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints
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    Chapter 19 Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding
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    Chapter 20 Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization
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    Chapter 21 Learning Belief Revision Operators
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    Chapter 22 Solving Constraint Satisfaction Problems Using Firefly Algorithms
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    Chapter 23 An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem
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    Chapter 24 Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
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    Chapter 25 Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations
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    Chapter 26 Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model
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    Chapter 27 Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming
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    Chapter 28 Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
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    Chapter 29 Text-Based Detection of Unauthorized Users of Social Media Accounts
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    Chapter 30 N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks
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    Chapter 31 Matching Résumés to Job Descriptions with Stacked Models
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    Chapter 32 Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach
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    Chapter 33 A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
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    Chapter 34 Topic Detection and Document Similarity on Financial News
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    Chapter 35 Software Defect Prediction from Code Quality Measurements via Machine Learning
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    Chapter 36 Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning
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    Chapter 37 Estimating Vineyard Grape Yield from Images
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    Chapter 38 Real-Time Deep Learning Pedestrians Classification on a Micro-Controller
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    Chapter 39 A Unified Evaluation Framework for Recommenders
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    Chapter 40 Early Detection of Alzheimer’s Disease Using Deep Learning
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    Chapter 41 Learning with Prior Domain Knowledge and Insufficient Annotated Data
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    Chapter 42 Predicting Crime Using Spatial Features
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    Chapter 43 A Tool for Defining and Simulating Storage Strategies on the Smart Grid
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    Chapter 44 Decision Assist for Self-driving Cars
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    Chapter 45 Rule Mining and Prediction Using the Flek Machine – A New Machine Learning Engine