Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
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   Chapter 2 Parallelisation of the PC Algorithm
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   Chapter 3 Regularized Multivariate von Mises Distribution
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   Chapter 4 Parallel Importance Sampling in Conditional Linear Gaussian Networks
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   Chapter 5 Glaucoma Diagnosis: A Soft Set Based Decision Making Procedure
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   Chapter 6 Retinal Vessel Detection Based on Fuzzy Morphological Line Enhancement
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   Chapter 7 A Linguistic Approach for Self-Perceived Health State: A Real Study for Diabetes Disease
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   Chapter 8 Applying Neuroevolution to Estimate the Difficulty of Learning Activities
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    Chapter 9 Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency
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    Chapter 10 On Coarser Interval Temporal Logics and their Satisfiability Problem
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    Chapter 11 Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis
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    Chapter 12 Clinical Decision Support System for the Diagnosis and Treatment of Fuzzy Diseases
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    Chapter 13 Public and Secret Forgetting of Propositional Formulas
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    Chapter 14 Estimation of Species Richness Using Bayesian Networks
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    Chapter 15 Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach
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    Chapter 16 Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling
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    Chapter 17 Learning Parliamentary Profiles for Recommendation Tasks
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    Chapter 18 An Analysis of the Quality Issues of the Properties Available in the Spanish DBpedia
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    Chapter 19 Measuring Data Imperfection in a Neighborhood Based Method
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    Chapter 20 An Ensemble-Based Classification Approach to Model Human-Machine Dialogs
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    Chapter 21 Pentaho + R: An Integral View for Multidimensional Prediction Models
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    Chapter 22 A Time Efficient Approach for Distributed Feature Selection Partitioning by Features
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    Chapter 23 Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment
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    Chapter 24 Learning Levels of Mario AI Using Genetic Algorithms
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    Chapter 25 GRASP Approach to a Min-Max Problem of Ergonomic Risk in Restricted Assembly Lines
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    Chapter 26 Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition
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    Chapter 27 Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models
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    Chapter 28 On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids
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    Chapter 29 Beyond Unfeasibility: Strategic Oscillation for the Maximum Leaf Spanning Tree Problem
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    Chapter 30 An Evolutionary Algorithm to Generate Real Urban Traffic Flows
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    Chapter 31 Social Navigation Restrictions for Interactive Robots Using Augmented Reality