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Artificial Intelligence: Methodology, Systems, and Applications

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Cover of 'Artificial Intelligence: Methodology, Systems, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Probabilistic Semantic Network of Object-Oriented Action and Activity
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    Chapter 2 Semantic-Aware Expert Partitioning
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    Chapter 3 User-Level Opinion Propagation Analysis in Discussion Forum Threads
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    Chapter 4 Social News Feed Recommender
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    Chapter 5 Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach
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    Chapter 6 Semi-supervised Image Segmentation
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    Chapter 7 Analysis of Rumor Spreading in Communities Based on Modified SIR Model in Microblog
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    Chapter 8 Modeling a System for Decision Support in Snow Avalanche Warning Using Balanced Random Forest and Weighted Random Forest
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    Chapter 9 Applying Language Technologies on Healthcare Patient Records for Better Treatment of Bulgarian Diabetic Patients
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    Chapter 10 Incrementally Building Partially Path Consistent Qualitative Constraint Networks
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    Chapter 11 A Qualitative Spatio-Temporal Framework Based on Point Algebra
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    Chapter 12 Training Datasets Collection and Evaluation of Feature Selection Methods for Web Content Filtering
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    Chapter 13 Feature Selection by Distributions Contrasting
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    Chapter 14 Educational Data Mining for Analysis of Students’ Solutions
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    Chapter 15 Differentiation of the Script Using Adjacent Local Binary Patterns
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    Chapter 16 New Technology Trends Watch: An Approach and Case Study
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    Chapter 17 Optimization of Polytopic System Eigenvalues by Swarm of Particles
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    Chapter 18 Back-Propagation Learning of Partial Functional Differential Equation with Discrete Time Delay
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    Chapter 19 Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach
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    Chapter 20 Neural Classification for Interval Information
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    Chapter 21 FCA Analyst Session and Data Access Tools in FCART
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    Chapter 22 Voice Control Framework for Form Based Applications
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    Chapter 23 Towards Management of OWL-S Effects by Means of a DL Action Formalism Combined with OWL Contexts
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    Chapter 24 Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices
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    Chapter 25 Test Case Prioritization for NUnit Based Test Plans in Agile Environment
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    Chapter 26 Pattern Structure Projections for Learning Discourse Structures
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    Chapter 27 Estimation Method for Path Planning Parameter Based on a Modified QPSO Algorithm
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    Chapter 28 On Modeling Formalisms for Automated Planning
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    Chapter 29 Finetuning Randomized Heuristic Search For 2D Path Planning: Finding The Best Input Parameters For R* Algorithm Through Series Of Experiments
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    Chapter 30 Analysis of Strategies in American Football Using Nash Equilibrium
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    Chapter 31 Strategies for Reducing the Complexity of Symbolic Models for Activity Recognition
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Title
Artificial Intelligence: Methodology, Systems, and Applications
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-10554-3
ISBNs
978-3-31-910553-6, 978-3-31-910554-3
Editors

Agre, Gennady, Hitzler, Pascal, Krisnadhi, Adila A., Kuznetsov, Sergei O.

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