Advances in Artificial Intelligence

Name: Advances in Artificial Intelligence | 16th Conference of the Spanish Association for Arti?cial Intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 Proceedings
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

16th Conference of the Spanish Association for Arti?cial Intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 Proceedings

José M. Puerta José A. Gámez Bernabe Dorronsoro Edurne Barrenechea Alicia Troncoso Bruno Baruque Mikel Galar(Editor)

Springer (Publisher)

Published on 13. November 2015

XIV, 358 pages

E-Book

PDF with digital watermarking

System requirements

978-3-319-24598-0 (ISBN)

€53.49incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Preface
Organization
Contents
Bayesian Networks and Uncertainty Modeling
A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
1 Introduction
2 Learning from Positive and Unlabeled Proportions
3 A SEM Method for Learning Bayesian Network Classifiers from Positive and Unlabeled Proportions
3.1 A Probabilistic Completion for the Training Examples
4 Experiments
5 Conclusions
References
Parallelisation of the PC Algorithm
1 Introduction
2 Preliminaries and Notation
2.1 Bayesian Networks
2.2 PC Algorithm
2.3 Balanced Incomplete Block Designs
3 Parallelisation of PC Structure Learning
3.1 Test for Marginal Independence
3.2 Extra Heuristics
3.3 Higher Order Testing
4 Empirical Evaluation
5 Discussion
References
Regularized Multivariate von Mises Distribution
1 Introduction
2 The Multivariate von Mises Distribution
2.1 Pseudo-Likelihood
2.2 Optimization
2.3 Regularization
3 Evaluation
4 Multivariate von Mises vs. Multivariate Gaussian
5 Validation on Morphological Data from Human Neurons
6 Conclusion and Future Work
References
Parallel Importance Sampling in Conditional Linear Gaussian Networks
1 Introduction
2 Preliminaries
2.1 Conditional Linear Gaussian Networks
3 Approximate Inference in CLG Networks
3.1 Variational Inference
3.2 Importance Sampling
4 Experimental Evaluation
5 Conclusion
References
Fuzzy Logic and Soft Computing
Glaucoma Diagnosis: A Soft Set Based Decision Making Procedure
1 Introduction
1.1 Glaucoma Diagnosis
1.2 Contribution and Organization of the Paper
2 Definition of Fuzzy Set and Soft Set
3 The Problem: Antecedents and a New Proposal
3.1 Antecedents
3.2 Proposal of a New Soft Expert System for Glaucoma Diagnosis
3.3 Testing the Performance of the Algorithm
4 Final Comments and Conclusion
References
Retinal Vessel Detection Based on Fuzzy Morphological Line Enhancement
1 Introduction
2 Automatic Segmentation
2.1 Nature of Images
2.2 Description of the Algorithm
3 Experimental Results
3.1 Methodology
3.2 Comparison with Other Methods
4 Conclusions and Future Work
References
A Linguistic Approach for Self-Perceived Health State: A Real Study for Diabetes Disease
1 Introduction
2 Linguistic Background
2.1 Fuzzy Linguistic Approach
2.2 Managing Multi-granular Linguistic Information
3 A Linguistic Proposal to Model the Health Information Provided by Diabetes Patients
3.1 The Framework
3.2 The Method
3.3 Computing Process
4 A Real Study for Diabetes Disease
5 Concluding Remarks
References
Applying Neuroevolution to Estimate the Difficulty of Learning Activities
1 Introduction
2 Background
2.1 PLMan: An AI Programming Game
2.2 Neuroevolution
3 Measuring Difficulty
4 Proposed Method
4.1 ANN Architectural Setup
4.2 Similarity Measures
5 Experimental Setup and Results
6 Conclusions and Further Work
References
Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency
Abstract
1 Introduction
2 Classification Methods
2.1 Logistic Regression with Product-Unit Covariates
2.2 The Estimation of Coefficients
3 Technical Efficiency: The DEA Model
4 Experimental Design: Selection and Justification of the Variable and Decisional Framework
5 Results
6 Conclusions
Acknowledgements
References
Knowledge Representation, Reasoning and Logic
On Coarser Interval Temporal Logics and their Satisfiability Problem
1 Introduction
2 Preliminaries
3 Decidability and Hardness Results for HS3
4 Undecidability Results for HS7
5 Conclusions
References
Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis
1 Introduction
2 Characterizing PCs in the BG Modelling Framework
2.1 Running Example
2.2 Hybrid Bond-Graphs for Hybrid Systems Modelling
2.3 Possible Conflicts from BG Models
3 Characterizing HBG-PCs
3.1 Computing HBG-PCs
4 Case Study
5 Conclusions
References
Clinical Decision Support System for the Diagnosis and Treatment of Fuzzy Diseases
1 Introduction
2 Background
3 Design of a CDSS for Fuzzy Diseases
4 System Evaluation
4.1 Evaluation Workflow
4.2 A Complex Clinical Case
4.3 Summary of Cases Evaluated
5 Conclusions and Future Work
References
Public and Secret Forgetting of Propositional Formulas
1 Introduction
2 Basic Definitions
3 Public Forgetting
4 The Effect of Publicly Forgetting Whether
5 Secret Forgetting
6 Conclusions and Future Work
References
Intelligent Systems and Environment
Estimation of Species Richness Using Bayesian Networks
1 Introduction
2 Methodology
2.1 Study Area and Data Description
2.2 Probabilistic Graphical Models: Bayesian Networks
2.3 Probabilistic Reasoning
2.4 Validation of the Model
3 Results and Discussion
4 Conclusions
References
Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach
1 Introduction
2 Service Description
2.1 Input Air Quality State Forecast Data Characterization
2.2 Content Determination Stage
2.3 Linguistic Realization Stage
3 Results and Evaluation
3.1 Examples
3.2 Quality Assessment Evaluation
4 Conclusions
References
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling
1 Introduction
2 Omnigram Explorer
2.1 OE Interaction Modes
3 Using OE to Understand Andalusian Reservoirs
3.1 The Problem
3.2 Data Description
3.3 OE Data Exploration Prior to Modeling
3.4 BN Learning
4 Conclusion
References
Intelligent Web and Recommender Systems
Learning Parliamentary Profiles for Recommendation Tasks
1 Introduction
2 Building and Using Profiles
2.1 Exploitation of the Profiles
2.2 Collecting User Information
2.3 Representation
2.4 Construction
3 Evaluation
3.1 Evaluation Framework
3.2 Results
4 Conclusions
References
An Analysis of the Quality Issues of the Properties Available in the Spanish DBpedia
1 Introduction
2 Extraction of Property Statistics
3 Analysis of Quality Dimensions
3.1 Conciseness
3.2 Consistency
3.3 Syntactic Validity
3.4 Semantic Accuracy
4 Related Work
5 Conclusions and Future Work
References
Machine Learning and Data Mining
Measuring Data Imperfection in a Neighborhood Based Method
1 Introduction
2 K-Nearest Neighbors Method from Low Quality Data
2.1 Introduction
2.2 Contribution from Neighbors for the Imputation/Classification
2.3 Controlling the kNNLQD Method
2.4 The Process of the kNNLQD Method
3 Experimental Results
3.1 Fuzzy Distance Measure
3.2 Fuzzy Entropy Function
3.3 Classification Accuracy
3.4 Synthetic Datasets with Low Quality Data
3.5 Real-World Dataset with Low Quality Data
4 Conclusions
References
An Ensemble-Based Classification Approach to Model Human-Machine Dialogs
1 Introduction
2 Our Proposed Methodology for Dialog Management
2.1 Proposed Statistical Methodology
2.2 Proposed Implementation by Means of Specific Dialog Models
3 Practical Application
4 Results of the Evaluation
4.1 Evaluation with a User Simulator
5 Conclusions and Future Work
References
Pentaho + R: An Integral View for Multidimensional Prediction Models
1 Introduction
1.1 Related Work
2 Experimental Setting
2.1 The Task
2.2 Multidimensional Data Description
2.3 Implementation Details
2.4 Experiment 1: Cost-Benefit Analysis Across the Full Multidimensional Lattice
2.5 Experiment 2: Cost-Benefit Analysis for a Single Cube Request
3 Discussion and Conclusions
References
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features
1 Introduction
2 Distributed Feature Selection
3 Materials and Methods
4 Experiments and Analysis
5 Final Remarks
References
Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment
1 Introduction
2 Related Work
3 DWR - A Multi-UAV Simulation Environment
4 Measures of Planning and Monitoring Effectiveness
4.1 Score
4.2 Cooperation
4.3 Aggressiveness
4.4 Initial Plan Complexity (IPC)
5 Experimentation
5.1 Computing the Performance Metrics in a Simulations Dataset
5.2 Applying Clustering Algorithms to Group User Profiles
5.3 Analyzing and Labeling the User Profile Clusters
6 Conclusions and Future Work
References
Metaheuristics and Evolutionary Computation
Learning Levels of Mario AI Using Genetic Algorithms
1 Introduction
2 State of the Art
3 Proposal
3.1 Encoding
3.2 Fitness
3.3 Genetic Operators
4 Evaluation
4.1 1st Stage Experimental Setup
4.2 Sensitivity Analysis of the Parameters
4.3 2nd Stage Experimental Setup
4.4 2nd Stage Results
4.5 Discussion
5 Conclusions and Future Work
References
GRASP Approach to a Min-Max Problem of Ergonomic Risk in Restricted Assembly Lines
Abstract
1 Introduction
2 The TSALBP-R_erg
3 GRASP Algorithm
3.1 Constructive Phase: Greedy Procedure
3.2 Local Improvement Phase
4 Computational Experience
5 Conclusions
Acknowledgments
References
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition
1 Introduction
2 The Quadratic Assignment Problem
3 Elementary Landscape Decomposition of the QAP
4 A Non-Dominated Sorting Genetic Algorithm for the Multi-objectivised QAP
5 Experiments
5.1 Parameter Settings
5.2 Results
5.3 Statistical Analysis
6 Conclusions and Future Work
References
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models
1 Introduction
2 Hybrid Artificial Neural Networks
3 Proposed Neural Network Model
4 Estimation of the Coefficients
5 Experiments
6 Conclusions
References
On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids
1 Introduction
2 Solving CSP Problems Using ACO Algorihtms
3 Description of the New Model for CSP Problems
4 Experiments and Discussion
5 Concluding Remarks and Future Research
References
Beyond Unfeasibility: Strategic Oscillation for the Maximum Leaf Spanning Tree Problem
1 Introduction
2 Algorithmic Proposal
2.1 Solution Representation
2.2 Constructive Procedure
2.3 Strategic Oscillation
3 Experimental Results
4 Conclusions
References
An Evolutionary Algorithm to Generate Real Urban Traffic Flows
1 Introduction
2 Related Work
3 Problem Description
4 Case Study
5 Flow Generator Algorithm (FGA)
5.1 Problem Representation
5.2 Evaluation Function
5.3 Operators
6 Competitors for Our FGA
6.1 Random Search (RS)
6.2 Evolutionary Algorithm (EA)
7 Results
8 Conclusions and Future Work
References
Social Robotics
Social Navigation Restrictions for Interactive Robots Using Augmented Reality
1 Introduction
2 Control Architecture
3 Navigation with AR
3.1 Proxemics Strategy
3.2 Occlusion Strategy
4 Implementation and Test Design
5 Conclusions and Further Work
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Advances in Artificial Intelligence

Description

More details

Other editions

Additional editions

Content

System requirements