Artificial Intelligence: Theories, Models and Applications

Name: Artificial Intelligence: Theories, Models and Applications | 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings
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7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings

Ilias Maglogiannis Vassilis Plagianakos Ioannis Vlahavas(Herausgeber*in)

Springer (Verlag)

Erschienen am 26. Mai 2012

XV, 384 Seiten

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Inhalt

Title
Preface
Organization
Table of Contents
SETN 2012 Main Conference
Application of the Ant Colony Optimization Algorithm to Competitive Viral Marketing
Introduction
Literature Review
Proposed Approaches
Evaluation
Conclusions
References
Constraint Propagation as the Core of Local Search
Introduction
CSPs and Multidisciplinary Contributions
Solving Phase and Thrashing
Local Search and Variants
An Augmented CSP Schema
Intermediate Variables in the N-Queens Problem
Issues in Local Search
Conflicting Assignments and Violated Constraints
Unqueued Constraint Propagation
Empirical Results
Conclusions and Future Directions
References
Semantic Query Answering in Digital Libraries
Introduction
Semantic Search in Digital Libraries
Interweaving Semantics with Machine Learning
Image Features Exploited by the Machine Learning Approach
Evaluation Study
Conclusions
References
A SOM-Based Validation Approach to a Neural Circuit Theory of Autism
Introduction
The Neuropsychology of a Neural Circuit Theory of Autism
The Autistic SOM Model
IPSOM: A Spatial Model
The Autistic IPSOM
Implementation Details and Statistical Analysis
Technical Aspects of the Model
Statistical Analysis
Conclusion and Future Work
References
Word Sense Disambiguation as an Integer Linear Programming Problem
Introduction
Our ILP Model of Word Sense Disambiguation
Relatedness Measures
Experimental Evaluation
Conclusions
References
Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data Mining Applications
Introduction
PNN Architecture and Parallelization Mappings
PNN Localization Problem and k-Centers Sampling
Tuning by Chain Gradient Training Paradigm
Experimental Results
Conclusions
References
SWRL2COOL: Object-Oriented Transformation of SWRL in the CLIPS Production Rule Engine
Introduction
The CLIPS Production Rule Engine
COOL Production Rules in CLIPS
Transformation Procedure
XSLT Transformations
swrl:classAtom.
swrl:individualPropertyAtom.
swrlx:datavaluedPropertyAtom.
swrlx:builtInAtom.
Transformation Example
Related Work
Conclusions
References
Forecasting Fraudulent Financial Statements with Committee of Cost-Sensitive Decision Tree Classifiers
Introduction
Literature Review
Data Description
Experimental Results and Proposed Technique
Conclusion
References
Forecasting Corporate Bankruptcy with an Ensemble of Classifiers
Introduction
Literature Review
Data Description
Experimental Results and Proposed Technique
Conclusion
References
Greedy Unsupervised Multiple Kernel Learning
Introduction
Feature Space Clustering
k-Medoids
Greedy Medoid Initialization
Learning a Linear Kernel Combination for Clustering
Problem Formulation
The Algorithm
Cluster Update.
Weight Estimation.
Convergence and Refinement.
Experimental Results
Conclusions
References
An AZP-ACO Method for Region-Building
Introduction
Methodology
Data
Results
Conclusions
References
Exploiting Quadratic Mutual Information for Discriminant Analysis
Introduction
Prior Work and Problem Statement
Update Methods Inspired by Discriminant Analysis
Experimental Results
Conclusions
References
Emerge-Sort: Swarm Intelligence Sorting
Introduction
Developing Emerge-Sort
A Proof of Concept
A Global Sorting Direction Bias Delivers a Sorted Sequence
Converging to a Global Sorting Direction Bias
Experimental Validation
Conclusions and Future Directions
References
iThink: A Library for Classical Planning in Video-Games
Introduction
STRIPS Planning
The iThink Framework in Unity3D
iThink Overview
Implementation Details of iThink
iThink Usage Example
Related Work
Future Work and Extensions
Conclusions
References
Detecting Human Features in Summaries - Symbol Sequence Statistical Regularity
Introduction
Related Work
Symbol Sequence Statistical Regularity
Experiments
Classification between Human and Machine-Generated Summaries
Feature Importance
Conclusions and Future Work
References
Learning from Mixture of Experimental Data: A Constraint-Based Approach
Introduction
Notation and Problem Statement
Assuming Perfect Statistical Inferences: Basic Approach
Considering Statistical Errors: Merging Approach
Experiments
Discussion
Related Work
References
Information Sharing and Searching via Collaborative Reinforcement Learning
Introduction
Problem Specification
The Proposed Approach
Experimental Results
Concluding Remarks
References
Distributed Instance Retrieval in EDDLHQ+SHIQ Representation Framework
Introduction
A Motivating Scenario
Related Work
Introduction to EDDL HQ+ SHIQ
Distributed Instance Retrieval in EDDL HQ+ SHIQ
Discussion
References
Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation
Introduction
TORCS Environment
Proposed Approach
Off-line Neural Network Learning by Imitation
On-line Learning Using Genetic Algorithms
Experiments
Conclusion
References
Bagged Nonlinear Hebbian Learning Algorithm for Fuzzy Cognitive Maps Working on Classification Tasks
Introduction
Ensemble Learning and Fuzzy Cognitive Map
Ensemble Learning
Main Aspects of Fuzzy Cognitive Maps
Learning Algorithms for Fuzzy Cognitive Maps
Bagged NHL Learning Approach for Fuzzy Cognitive Map
Experimental Analysis and Results
References
Credit Rating Using a Hybrid Voting Ensemble
Introduction
Literature Review
Data Description
Experimental Results and Proposed Technique
Conclusion
References
Extending Generalized Arc Consistency
Introduction
Background
GAC+
Experiments
Discussion
Conclusion
References
An Online Kernel-Based Clustering Approach for Value Function Approximation
Introduction
Background and Preliminaries
The Proposed Method
Experimental Results
Conclusions and Future Directions
References
Acoustic Bird Activity Detection on Real-Field Data
Introduction
Acoustic Bird Activity Detection in Real-Field Environment
Evaluation Setup and Results
Real-World Dataset
Experimental Setup
Experimental Results
References
Parameter Tuning of Hybrid Nature-Inspired Intelligent Metaheuristics for Solving Financial Portfolio Optimization Problems
Introduction
Literature Review
Methodological Issues
Application Domain
Computational Study
Conclusion and Future Research
References
An Intelligent Tool for Anatomical Object Segmentation Using Deformable Surfaces
Introduction
Methodology
Active Surface (AS) Explicit Evolution
Definition of External Force Field
User Intervention
Results
Conclusions
References
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting
Introduction
Multinomial Distribution Tracking through Exponential Forgetting
The Multinomial Distribution-Based Differential Evolution Framework
Experimental Results
Conclusions
References
Clustering of High Dimensional Data Streams
Introduction
The dePDDP Algorithm
The Proposed Clustering Algorithm
Incremental PCA
Density Estimation over Data Streams
Experimental Analysis
Concluding Remarks
References
Special Session: Advancing Translational Biological Research through the Incorporation of Artificial Intelligence Methodologies
Multifactor Dimensionality Reduction for the Analysis of Obesity in a Nutrigenetics Context
Background
Dataset
Methods
Results
Discussion
Conclusions
References
Coupling Regulatory Networks and Microarays: Revealing Molecular Regulations of Breast Cancer Treatment Responses
Introduction
Microarrays and GRNs: Techniques and Limitations
MinePath: Revealing Phenotype-Specific Regulation
The Regulation of Breast Cancer Treatment Response
Conclusions
References
A Galaxy Workflow for the Functional Annotation of Metagenomic Samples
Introduction
The Annotation Workflow
Integration of Bioinformatics Tools/Algorithms
Stand-Alone Programs
Public Databases
Scripts
Conclusion
References
Bioinformatic Analysis of Expression Data of ApoE Deficient Mice
Introduction
Materials and Methods
Microarray Data
Microarray Data Analysis and Statistical Analysis
Prioritized Pathway/Functional Analysis
Cluster and Promoter Analysis
Results
Statistically Significant Differentiated Genes
Pathway Analysis
Cluster Analysis
Promoter Analysis
Identification of Candidate Hub-Genes
Discussion
References
Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data
Introduction
Methods
Constraints and Semi-supervision
Gene Ontology and Constraints Selection
SSPCA
Results
Conclusions
References
Special Session: Artificial Intelligence in Bioinformatics
Towards Better Prioritization of Epigenetically Modified DNA Regions
Introduction
Methods
Results and Discussion
Conclusions
References
Mining Cell Cycle Literature Using Support Vector Machines
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
CW-PRED: A HMM-Based Method for the Classification of Cell Wall-Anchored Proteins of Gram-Positive Bacteria
Introduction
Materials and Methods
Results
Discussion
References
Predicting Human miRNA Target Genes Using a Novel Evolutionary Methodology
Introduction
Methodology
Dataset
Feature Set
Proposed miRNA Target Prediction Method
Results
Conclusion and Future Work
References
Special Session: Intelligent Annotation of Digital Content
Ontology-Based Automatic Image Annotation Exploiting Generalized Qualitative Spatial Semantics
Introduction
Generalized Ontological Representation of Spatial Relations
Ontology-Based Automatic Image Annotation
Training Phase
Labeling Phase
Automatic Annotation of Objects in Chest Radiographs
Conclusions
References
Image Interpretation by Combining Ontologies and Bayesian Networks
Introduction
Related Work
Framework Description
Ontology to Bayesian Network Mapping
Framework Functional Settings
Experimental Study
Conclusions
References
Advanced Cancer Cell Characterization and Quantification of Microscopy Images
Introduction
Materials and Methods
Image Dataset Description
Feature Extraction and Classification
Thresholding
Noise Removal and Object Quantification
Experimental Results
Conclusions
References
Special Session: Intelligent, Affective, and Natural Interfaces
An Adaptive Dialogue System with Online Dialogue Policy Learning
Introduction
Background
System Overview
Evaluation
Concluding Remarks and Future Work
References
Affective, Natural Interaction Using EEG: Sensors, Application and Future Directions
Introduction
Sensors Technology Overview
Affective Aspects of EEG Application
Emotion Representation
Annotation
Stimuli/Induction
Machine Learning Aspect
Multimodality
Feature Processing
Classification
Application Domains
Games
E-Learning
Health and Universal Access
Conclusions and Future Directions
References
Affective Computing on Elderly Physical and Cognitive Training within Live Social Networks
Introduction
Materials and Methods
Long Lasting Memories Trials
Physical Training
Results
Physical Training
Live Social Network
Discussion
References
Special Session: Unified Multimedia Knowledge Representation and Processing
Semantic Video Abstracting: Automatic Generation of Movie Trailers Based on Video Patterns
Introduction
Related Work
Trailer Structure
Action Trailers
Other Genres
Automatic Trailer Generation System
Approach
Architecture
Applying to Different Genres
Evaluation
Conclusion
References
Learning to Case-Tag Modern Greek Text
Introduction
Related Work
Morphological Case in Modern Greek
Morphological Case Learning
Conclusion
References
Understanding How Visual Context Influences Multimedia Content Analysis Problems
Introduction
Visual Context Identification
Visual Context in Image Analysis
The Role of Spatial Context
The Role of Scene Context
Visual Context Modeling
Conclusions and Future Work
References
Block Operator Context Scanning for Commercial Tracking
Introduction
Block Operator Context Scanning
Video Matching Algorithm
Experimental Results
Discussion
References
Identifying Conceptual Layers in the Ontology Development Process
Introduction
Conceptualization and Formalization Layers
IKARUS-Onto and Expert Roles
Ontology Fuzzification Tool
Discussion and Conclusions
References
Author Index

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