Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Logo Recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers
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   Chapter 2 d-Separation: Strong Completeness of Semantics in Bayesian Network Inference
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   Chapter 3 Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools
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   Chapter 4 Move Pruning and Duplicate Detection
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   Chapter 5 Protocol Verification in a Theory of Action
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   Chapter 6 Identifying Explicit Discourse Connectives in Text
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   Chapter 7 Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques
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   Chapter 8 Maintaining Preference Networks That Adapt to Changing Preferences
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    Chapter 9 Fast Grid-Based Path Finding for Video Games
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    Chapter 10 Detecting Statistically Significant Temporal Associations from Multiple Event Sequences
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    Chapter 11 Selective Retrieval for Categorization of Semi-structured Web Resources
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    Chapter 12 Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model
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    Chapter 13 Feature Combination for Sentence Similarity
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    Chapter 14 Exhaustive Search with Belief Discernibility Matrix and Function
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    Chapter 15 Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets
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    Chapter 16 Boundary Set Based Existence Recognition and Construction of Hypertree Agent Organization
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    Chapter 17 Construction of Privacy Preserving Hypertree Agent Organization as Distributed Maximum Spanning Tree
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    Chapter 18 The K-Modes Method under Possibilistic Framework
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    Chapter 19 Quantitative Aspects of Behaviour Network Verification
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    Chapter 20 A Causal Approach for Mining Interesting Anomalies
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    Chapter 21 Pathfinding by Demand Sensitive Map Abstraction
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    Chapter 22 Detecting and Categorizing Indices in Lecture Video Using Supervised Machine Learning
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    Chapter 23 Improvements to Boosting with Data Streams
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    Chapter 24 Revisiting the Epistemics of Protocol Correctness
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    Chapter 25 Sensory Updates to Combat Path-Integration Drift
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    Chapter 26 Quantitatively Evaluating Formula-Variable Relevance by Forgetting
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    Chapter 27 An Ensemble Method Based on AdaBoost and Meta-Learning
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    Chapter 28 Preference Thresholds Optimization by Interactive Variation
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    Chapter 29 General Topic Annotation in Social Networks: A Latent Dirichlet Allocation Approach
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    Chapter 30 Classifying Organizational Roles Using Email Social Networks
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    Chapter 31 Improved Arabic-French Machine Translation through Preprocessing Schemes and Language Analysis
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    Chapter 32 An Application of Answer Set Programming for Situational Analysis in a Maritime Traffic Domain
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    Chapter 33 Preference Constrained Optimization under Change
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    Chapter 34 Learning Disease Patterns from High-Throughput Genomic Profiles: Why Is It So Challenging?
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    Chapter 35 Shape-Based Analysis for Automatic Segmentation of Arabic Handwritten Text
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    Chapter 36 A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks
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    Chapter 37 Intelligent Tutoring Systems Measuring Student’s Effort During Assessment
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    Chapter 38 Sparse Representation for Machine Learning
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    Chapter 39 Extracting Information-Rich Part of Texts Using Text Denoising
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    Chapter 40 A Novel Content Based Methodology for a Large Scale Multimodal Biometric System