Artificial Intelligence XXXIV

Table of Contents

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   Book Overview
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   Chapter 1 Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Technical Paper)
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   Chapter 2 Masked Conditional Neural Networks for Environmental Sound Classification
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   Chapter 3 Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting
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   Chapter 4 A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques
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   Chapter 5 Programming Without Program or How to Program in Natural Language Utterances
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   Chapter 6 Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines
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   Chapter 7 Measuring Relations Between Concepts in Conceptual Spaces
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   Chapter 8 Towards a Deep Reinforcement Learning Approach for Tower Line Wars
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    Chapter 9 Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries
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    Chapter 10 Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networks
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    Chapter 11 Quantization Error-Based Regularization in Neural Networks
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    Chapter 12 Knowledge Transfer in Neural Language Models
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    Chapter 13 Emotion Recognition in Text Using PPM
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    Chapter 14 An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams
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    Chapter 15 A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation
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    Chapter 16 Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents
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    Chapter 17 Cable Belief Networks (Best Application Paper)
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    Chapter 18 Towards the Integration of Prescription Analytics into Health Policy and General Practice
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    Chapter 19 An Ontology to Support Knowledge Management in Behaviour-Based Healthcare
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    Chapter 20 Using Semantic Web Technologies to Underpin the SNOMED CT Query Language
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    Chapter 21 Feature Level Ensemble Method for Classifying Multi-media Data
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    Chapter 22 Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes
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    Chapter 23 Algorithms and Architecture for Real-Time Recommendations at News UK
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    Chapter 24 Customer Contact Journey Prediction
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    Chapter 25 A Better Predictor of Marathon Race Times Based on Neural Networks
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    Chapter 26 Fuzzy Logic Based Personalized Task Recommendation System for Field Services
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    Chapter 27 Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure
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    Chapter 28 Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning
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    Chapter 29 Predicting Dust Storms Using Hybrid Intelligence System
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    Chapter 30 Decision Support System for Green Real-Life Field Scheduling Problems
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    Chapter 31 Multi-label Classification of Movie Posters into Genres with Rakel Ensemble Method
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    Chapter 32 Parameter Search for a Small Swarm of AUVs Using Particle Swarm Optimisation
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    Chapter 33 Deep Learning for Classification of Bi-Lingual Ads in Online Classifieds
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    Chapter 34 Enhancing Symmetry in GAN Generated Fashion Images
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    Chapter 35 Predicting Service Levels Using Neural Networks
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    Chapter 36 Using Machine Learning for Dynamic Multicast Capacity Planning
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    Chapter 37 Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data