Advances in Artificial Intelligence

Name: Advances in Artificial Intelligence | 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings
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14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings

Jose A. Lozano José A. Gámez José A. Moreno-Pérez(Herausgeber*in)

Springer (Verlag)

Erschienen am 30. Oktober 2011

XV, 506 Seiten

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978-3-642-25274-7 (ISBN)

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Inhalt

Title page
Preface
Organization
Table of Contents
Agent-Based and Multiagent Systems
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
Introduction
An Environment Class for a Universal Intelligence Test
Implementation and Evaluated Agents
A Simple Example
Experiments
Discussion and Related Work
Conclusions
References
Evaluation of an Automated Mechanism for Generating New Regulations
Introduction
Related Work
The Traffic Scenario
Norm Life Cycle
Experiments
Conclusions
References
A Multi-agent System for Incident Management Solutions on IT Infrastructures
Introduction
Problem Description
Challenging Issues for Incident Management with Multi-agent Systems
Incident Management Application
Agent Types
System Functionality
Testing the System
Conclusions
References
Market Self-organization under Limited Information
Introduction
The Model
Consumer Learning
Producer Learning
Simulation Results and Validation
Conclusions and Outlook
References
Solving Sequential Mixed Auctions with Integer Programming
Introduction
Background: Mixed Auctions
Sequential Mixed Auctions
Defining the Winner Determination Problem
Solving an SMA Step by Means of a Mixed Integer Linear Program
Connected Component IP Solver (CCIP)
Solving the WDP for an SMA Step
Conclusions and Future Work
References
Machine Learning
Global Feature Subset Selection on High-Dimensional Datasets Using Re- ranking-based EDAs
Introduction
Search Algorithms Applied to High-Dimensional Databases
Local Search Algorithms
Non-deterministic Global Search Algorithms
Re-ranking-Based EDA
Experiments
Evaluation Corpus
Evaluation Methodology
Results
Conclusions
References
A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets
Introduction
Democratization and Stratification of Instance Selection Methods
Determining the Number of Votes
Parallel Implementation
Experimental Results
Time Complexity
Conclusions and Future Work
References
C4.5 Consolidation Process: An Alternative to Intelligent Oversampling Methods in Class Imbalance Problems
Introduction
C4.5 and the Consolidation Process
Used Intelligent Oversampling Methods
SMOTE
Borderline-SMOTE
Methodology for Experiments
Experimental Results
Conclusions and Further Work
References
Scalability Analysis of ANN Training Algorithms with Feature Selection
Introduction
Feature Selection
Experimental Study
High Dimensional Datasets
Performance Measures
Experimental Settings
Experimental Results
Discussion
Conclusions
References
Using Model Trees and Their Ensembles for Imbalanced Data
Introduction
Methods
Tree Methods
Ensemble Methods
Experiments
Datasets
Settings
Results
Conclusions
References
Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once
Introduction
Multiple-Selection of Instances
Experimental Setup
Experimental Results and Discussion
Conclusions and Future Work
References
On the Effectiveness of Distributed Learning on Different Class- Probability Distributions of Data
Introduction
Class-Probability Distribution of Data
Learning from Distributed Data
Experimental Section
Datasets
Learning Algorithms
Experimental Procedure
Experimental Results
Discussion
Conclusions
References
On the Learning of ESN Linear Readouts
Introduction
Reservoir Computing and Readout Learning
Numerical Experiments
Conclusions
References
Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions
Introduction
Learning a Naive Bayes Model for MIL with Label Proportions: An Expectation-Maximization Method
An EM Method for MIL with Label Proportions
Experiments
Validation in MIL with Label Proportions
Evaluation of Proposed Methods with Artificial Data
Comparison with State-of-the-Art Approaches
Conclusions
References
The von Mises Naive Bayes Classifier for Angular Data
Introduction
The Naive Bayes Classifier
The von Mises Distribution
The von Mises Naive Bayes Classifier
One Predictive Variable
Two Predictive Variables
Experiments with Real Data
Discussion
References
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm
Introduction
Methodology
Input Data
Definition of Tricluster
TriGen Algorithm Description
Results
Results Using Synthetic Data
Results Using Real Data
Conclusions and Future Work
References
Pattern Recognition in Biological Time Series
Introduction
Classification Techniques: Clustering and Biclustering
Clustering Techniques
Biclustering Techniques
Functional Analysis: Gene Regulatory Networks
Unsupervised Machine Learning on Gene Expression Temporal Series Data: An Overview
Clustering Based Proposals
Biclustering Based Proposals
Regulatory Networks Proposals
Conclusion
References
Knowledge Representation, Logic, Search and Planning
On the Expressive Power of First Order-Logic Extended with Allen's Relations in the Strict Case
Introduction
First Order Logic and Allen's Relations
The Class Lin of All Linear Orders
The Class Den of All Dense Linear Orders
The Class Dis of All Discrete Linear Orders
Relative Expressivity
Conclusions and Open Problems
References
Using the Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems
Introduction
Problem Definition
Two-Step OSP Algorithm
Selecting Goals
Planning for the Selected Goals
Computational Complexity
Experimental Results
Conclusions and Future Work
References
Optimally Scheduling a Job-Shop with Operators and Total Flow Time Minimization
Introduction
Problem Formulation
Schedule Generation Schemes
Search Algorithm
Search Space
Heuristic Functions
Dominance Rules
Upper Bounds Calculation
Computational Results
Conclusions
References
OntoMetaWorkflow: An Ontology for Representing Data and Users in Workflows
Introduction
Use of Ontologies in WfMS
WEAPON: Workflow Engine for Administrative Processes Based on Ontologies
OntoMetaWorkflow: A Generic Ontology for the Representation and Reuse of Workflows
Methods for Defining and Reusing Administrative Processes Using OntoMetaWorkflow
OntoDD: Ontology of Relevant Data of an Specific Domain
OntoWF: Ontology of the Workflow of the Specific Administrative Process
Conclusions
References
Architecture for the Use of Synergies between Knowledge Engineering and Requirements Engineering
Introduction
Enhancement of Requirement Engineering Workflow
Seamless Synergic Architecture
Requirements Validation Module
Requirements Selection Module
Conclusions
References
Multidisciplinary Topics and Applications
Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis
Introduction
Dynamic Bayesian Networks Background
Obtaining DBN Factors from PCs
Possible Conflicts Background
Generating a DBN from a PC
Diagnosis Architecture with DBNs and PCs
Fault Detection
Fault Isolation
Fault Scenarios
Abrupt Fault in C1
Abrupt Fault in Rv3
Comparing Complete DBN and DBN Factors Performance
Discussion
Conclusions
References
Planning and Execution in a Personalised E-Learning Setting
Introduction
Related Work
A General Approach for Planning E-Learning Routes
Description of the Structure at a Glance
Compilation of Domain+Planning Problem
The Importance of Plan Stability
=.28em plus .1em minus .1em Executing, Monitoring and Adapting E-Learning Routes
Experimental Results
Conclusions
References
Heuristic Multiobjective Search for Hazmat Transportation Problems
Introduction
Antecedents
Hazmat Route Planning
Multiobjective Heuristic Search
Experiments
Results
Random Graphs
Lazio Map
Discussion
Conclusions and Future Work
References
Topography of Functional Connectivity in Human Multichannel Electroencephalogram during Second Language Processing
Introduction
Material an Methods
Groups of Subjects
Stimulus
Data Recording and Pre-processing
Data Analysis
Statistical Comparisons
Results
Discussion
References
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price
Introduction
CO2RBFN for Time Series Forecasting
Experimental Framework
Exogenous Variables and Technical Indicators
Feature Selection Algorithms
Experimentation and Results
Results Obtained with the Whole Set of Input Variables
Results of the Feature Selection Algorithms
Results Obtained with the Selected Set of Input Variables
Conclusions
References
SMS Normalization: Combining Phonetics, Morphology and Semantics
Introduction
SMS Language Features
SMS Translator: System Architecture
Preprocessing Module
Translation Module
Disambiguation Module
Evaluation
Data Set
Evaluation Process
Results and Discussion
Conclusions
References
Vision and Robotics
Multiscale Extension of the Gravitational Approach to Edge Detection
Introduction
The Multiscale Gravitational Edge Detector Based on a t-norm T
The Gravitational Approach
Multiscale Edge Detection
Multiscale Evolution of the GED-T
Some Practical Experiments
Conclusions
References
A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remains
Introduction
Preliminaries
Image Registration
3D Model Reconstruction Based on Range Image Registration
Evolutionary Image Registration
Computational Experiments
Experimental Design
Parameter Settings
Analysis of Results
Concluding Remarks
References
L-System-Driven Self-assembly for Swarm Robotics
Introduction
Self-assembly and Automatic Design
L-Systems and Turtle Interpretation
L-System-Driven Self-assembly
Experimentation
Discussion
References
An Study on Ear Detection and Its Applications to Face Detection
Introduction
Viola-Jones General Object Detection Framework
Datasets
Experimental Results
Ear Detection Performance
Face Detection Improvement
Conclusions
References
A Combined Strategy Using FMCDM for Textures Segmentation in Hemispherical Images from Forest Environments
Introduction
Combined Segmentation Strategy
Identification of High Contrasted Textures
Identification of Homogeneous Textures: Combining Classifiers
Results
Conclusions and Future Work
References
Getting NDVI Spectral Bands from a Single Standard RGB Digital Camera: A Methodological Approach
Introduction
The BSOP Theoretical Approach
Band Simulation by Orthogonal Projection (BSOP)
Optimal Low-Pass Filter
Renormalisation of the Projected Vectors
Material and Methods
Camera Sensitivity Measurement
Definition of the Target Sensitivities
BSOP Computation
NDVI Simulation on Field Hyperspectral Images
Results
Band Simulation
NDVI Computation
Conclusion
References
Soft Computing
Combining Neighbourhoods in Fuzzy Job Shop Problems
Introduction
Job Shop Scheduling with Uncertain Durations
Uncertain Durations
Fuzzy Job Shop Scheduling
Improved Local Search
Previous Approaches
New Neighbourhood Definition
Makespan Estimation
Experimental Results
Conclusions
References
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms
Introduction
TSK-0 Fuzzy Rule-Based Systems
The Cooperative Rules Methodology for TSK-0 Rules
Using Local Search to Find the Rule Base
Adaptation of COR Methodology to Learning TSK-0 Rules
Experimental Study
Final Conclusions and Future Work
References
Weighted Tardiness Minimization in Job Shops with Setup Times by Hybrid Genetic Algorithm
Introduction
Description of the Problem
The Disjunctive Graph Model Representation
Genetic Algorithm for the SDST-JSP
Tabu Search for the Weighted Tardiness Minimization in the SDST-JSP
The Neighborhood Structure
Weighted Tardiness Estimation
Experimental Study
Conclusions
References
Interval-Valued Fuzzy Sets for Color Image Super-Resolution
Introduction
Preliminaries
Construction of Interval-Valued Fuzzy Sets
Super-Resolution Algorithm
Illustrative Examples
Conclusions
References
An Evolutionary Multiobjective Constrained Optimisation Approach for Case Selection: Evaluation in a Medical Problem
Introduction
Evaluation Methodology
Notation
Evaluation Methodology
An Evolutionary Multiobjective Constrained Optimisation Approach for Case Selection
A Multiobjective Constrained Optimisation Model for Case Selection
Multiobjective Evolutionary Algorithms
Application to Burn Intensive Care Unit
Medical Problem
Experiment Results
Conclusions
References
Web Intelligence and Information Retrieval
The VoiceApp System: Speech Technologies to Access the Semantic Web
Introduction
Extending Web with Voice
The VoiceApp Multimodal Dialog System
Generation of the XHTML+Voice Pages
Voice Dictionary, Voice Browser and Voice Pronunciation
Preliminary Evaluation
Conclusions
References
A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters
Introduction and Motivation
Cluster Based Pseudo Relevance Feedback
Experiments and Results
Settings and Methodology
Results
Related Work
Conclusions and Future Work
References
SAHN with SEP/COP and SPADE, to Build a General Web Navigation Adaptation System Using Server Log Information
Introduction
Web Mining
Database
Proposed System
Data Preprocessing
Pattern Discovery and Analysis
Exploitation
Experimental Results and Analysis
Conclusions and Further Work
References
A New Criteria for Selecting Neighborhood in Memory-Based Recommender Systems
Introduction
Related Work: Neighborhood-Based Recommender Systems
Neighborhood Selection
Computing the Predictions
A New Metric for Selecting the Neighborhood
Evaluation of the Recommender Model
Data Set and Experimental Methodology
Experimental Results
Conclusions and Future Work
References
Extended Precision Quality Measure for Recommender Systems
Introduction
Motivation
Extended Precision
Formalization
Design of Experiments
Results
Conclusions and Future Works
References
A Tool for Link-Based Web Page Classification
Introduction
Related Work
Core Definitions
Classification Features
Features Definition
Features Examples
Classification Tool
Evaluation
Conclusions
References
Information Extraction for Standardization of Tourism Products
Introduction
The Application Domain
Information Extraction and Text Classification
Information Extraction
Text Classification
System Architecture
Sentence Classifier
Entity Extractor
Ontology Instantiator
Ontology Translator
Experiments and Evaluation
Experimental Setup
Results
System Evaluation
Conclusions and Future Work
References
Improving Collaborative Filtering in Social Tagging Systems
Introduction
Related Work
Detecting the User Interests
Recommending Resources for a ToI
Adaptive Neighbor Selection
Filtering and Combining Feedback for the ToI
Evaluation
On the Generation of the ToIs
Conclusions
References
Ontology-Driven Method for Integrating Biomedical Repositories
Introduction
The OGO System
The Integration Method
Mapping Rules
Identity Rules
Integration Process
Results
Conclusions
References
Lightweighting the Web of Data through Compact RDF/HDT
Introduction
Related Work
RDF/HDT
Basic Concepts
Practical Issues
RDF Indexing and SPARQL Querying
Bitmap Triples
k2-Triples
RDF Exchanging
Consuming RDF. Large RDF Visualization
Background
Adjacency Matrix Visualization
Conclusions and Future Work
References
Query Expansion Methods and Performance Evaluation for Reusing Linking Open Data of the European Public Procurement Notices
Introduction
Related Work
Survey of Methods to Expand User Queries
Performance Evaluation
Design of the Experiment
Results and Discussion
Conclusions and Future Work
References
Author Index

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