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Advances in Artificial Intelligence -- IBERAMIA 2014

Overview of attention for book
Advances in Artificial Intelligence -- IBERAMIA 2014
Springer, Cham

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Parsing Approach to SAT
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    Chapter 2 Inconsistency-Tolerant Reasoning in Datalog $$^{\pm }$$ ± Ontologies via an Argumentative Semantics
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    Chapter 3 A Labeled Abstract Bipolar Argumentation Framework
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    Chapter 4 On Supporting Strong and Default Negation in Answer-Set Program Updates
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    Chapter 5 On the Use of Agreement Technologies for Multi-criteria Decision Making within a BDI Agent
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    Chapter 6 Real-Time Pathfinding in Unknown Terrain via Reconnection with an Ideal Tree
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    Chapter 7 The Influence of Syntactic Information on Hedge Scope Detection
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    Chapter 8 A Straightforward Author Profiling Approach in MapReduce
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    Chapter 9 Extraction of Relation Descriptors for Portuguese Using Conditional Random Fields
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    Chapter 10 Content and Style Features for Automatic Detection of Users’ Intentions in Tweets
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    Chapter 11 Size Does Not Matter. Frequency Does. A Study of Features for Measuring Lexical Complexity
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    Chapter 12 A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts
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    Chapter 13 Identification of Bilingual Suffix Classes for Classification and Translation Generation
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    Chapter 14 Association Rules to Help Populating a Never-Ending Growing Knowledge Base
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    Chapter 15 Likelihood Function for Multi-target Color Tracking Using Discrete Finite Mixtures
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    Chapter 16 Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm
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    Chapter 17 Recursive Dependent Binary Relevance Model for Multi-label Classification
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    Chapter 18 An Experimental Evaluation of Sentiment Analysis on Financial News Using Prior Polarity Words
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    Chapter 19 A Language Model for Improving the Graph-Based Transcription Approach for Historical Documents
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    Chapter 20 Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs
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    Chapter 21 Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing
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    Chapter 22 Online Evolving Fuzzy Clustering Algorithm Based on Maximum Likelihood Similarity Distance
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    Chapter 23 The Grow-Shrink Strategy for Learning Markov Network Structures Constrained by Context-Specific Independences
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    Chapter 24 An Evolutionary Methodology for Handling Data Scarcity and Noise in Monitoring Real Events from Social Media Data
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    Chapter 25 Opinion Search in Spanish Written Press
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    Chapter 26 Serendipitous Recommendation Based on Big Context
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    Chapter 27 An Algorithm to Condense Social Networks and Identify Brokers
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    Chapter 28 Relevance Measures for Multivalued Attributes in Multiclass Datasets
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    Chapter 29 Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms
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    Chapter 30 A More Efficient Selection Scheme in iSMS-EMOA
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    Chapter 31 Continuous Optimization Based on a Hybridization of Differential Evolution with K-means
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    Chapter 32 Automatic Step Evolution
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    Chapter 33 Parallel MOEA/D-ACO on GPU
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    Chapter 34 Function Optimization in Conformal Space by Using Spherical Inversions and Reflections
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    Chapter 35 A Hyper-Heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers
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    Chapter 36 Live Robot Programming
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    Chapter 37 An Orientation Assignment Heuristic to the Dubins Traveling Salesman Problem
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    Chapter 38 A Motion Planner for Car-Like Robots Based on Rapidly-Exploring Random Trees
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    Chapter 39 Omnidirectional Walking with a Compliant Inverted Pendulum Model
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    Chapter 40 Analogical Generalization of Activities from Single Demonstration
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    Chapter 41 Feedback-Based Parameterized Strategies for Improving Performance of Video Surveillance Understanding Frameworks
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    Chapter 42 Imperfect Norm Enforcement in Stochastic Environments: An Analysis of Efficiency and Cost Tradeoffs
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    Chapter 43 Using a Priori Information for Fast Learning Against Non-stationary Opponents
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    Chapter 44 The Double Knapsack Negotiation Problem: Modeling Cooperative Agents and Experimenting Negotiation Strategies
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    Chapter 45 Institutional Environments: A Framework for the Development of Open Multiagent Systems
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    Chapter 46 Huginn: Normative Reasoning Based on Mood
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    Chapter 47 Krowdix: Agent-Based Simulation of Online Social Networks
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    Chapter 48 Estimation of Parameters of Mycobacterium tuberculosis Growth: A Multi-Agent-Based Simulation Approach
  50. Altmetric Badge
    Chapter 49 Advances in Artificial Intelligence -- IBERAMIA 2014
  51. Altmetric Badge
    Chapter 50 Using Agents and Open Learner Model Ontology for Providing Constructive Adaptive Techniques in Virtual Learning Environments
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    Chapter 51 Recognizing the Brazilian Signs Language Alphabet with Neural Networks over Visual 3D Data Sensor
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    Chapter 52 Distributed Stock Exchange Scenario Using Artificial Emotional Knowledge
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    Chapter 53 An Ontology-Based Framework for Relevant Guidance
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    Chapter 54 Recognition and Recommendation of Parking Places
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    Chapter 55 Using String Information for Malware Family Identification
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    Chapter 56 Applying Data Mining in Urban Environments Using the Roles Model Approach
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    Chapter 57 Prostate Cancer Biopsy Recommendation through Use of Machine Learning Classification Techniques
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    Chapter 58 Comparison of a New Qualifier Method for Multiple Object Tracking in RoboCup 2D Simulation League
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    Chapter 59 Artificial Neural Networks Ensemble Applied to the Electrical Impedance Tomography Problem to Determine the Cardiac Ejection Fraction
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    Chapter 60 Towards Better Propagation of Geographic Location in Digital Photo Collections
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    Chapter 61 Applying Multiple Regression Analysis to Adjust Operational Limits in Condition-Based Maintenance
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    Chapter 62 EKG Intelligent Mobile System for Home Users
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    Chapter 63 Improving Conflict Support Environments with Information Regarding Social Relationships
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    Chapter 64 A Formal Approach for Contextual Planning Management: Application to Smart Campus Environment
Attention for Chapter 35: A Hyper-Heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers
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mendeley
18 Mendeley
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Chapter title
A Hyper-Heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers
Chapter number 35
Book title
Advances in Artificial Intelligence -- IBERAMIA 2014
Published by
Springer, Cham, November 2014
DOI 10.1007/978-3-319-12027-0_35
Book ISBNs
978-3-31-912026-3, 978-3-31-912027-0
Authors

Alex G. C. de Sá, Gisele L. Pappa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Student > Bachelor 2 11%
Professor 2 11%
Student > Doctoral Student 1 6%
Other 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 12 67%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Engineering 1 6%
Unknown 3 17%

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