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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
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    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
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    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 20: Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs
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Citations

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Chapter title
Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs
Chapter number 20
Book title
Advances in Artificial Intelligence -- IBERAMIA 2014
Published by
Springer, Cham, November 2014
DOI 10.1007/978-3-319-12027-0_20
Book ISBNs
978-3-31-912026-3, 978-3-31-912027-0
Authors

Michal Kawulok, Jakub Nalepa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 1 14%
Unspecified 1 14%
Unknown 2 29%

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