Methods and Applications of Artificial Intelligence : Third Helenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004, Proceedings / edited by George A. Vouros, Themistoklis Panayiotopoulos.

Format:

Book

Contributor:

Vouros, George A., editor.

Panayiotopoulos, Themistoklis, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 3025.

Lecture Notes in Artificial Intelligence ; 3025

Language:

English

Subjects (All):

Artificial intelligence.

Algorithms.

Database management.

Information storage and retrieval.

Application software.

Optical data processing.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Database Management.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Local Subjects:

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Database Management.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Physical Description:

1 online resource (XV, 546 pages).

Edition:

First edition 2004.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.

System Details:

text file PDF

Summary:

Arti?cial intelligence has attracted a renewed interest from distinguished sci- tists and has again raised new, more realistic this time, expectations for future advances regarding the development of theories, models and techniques and the use of them in applications pervading many areas of our daily life. The borders of human-level intelligence are still very far away and possibly unknown. Nev- theless, recent scienti?c work inspires us to work even harder in our exploration of the unknown lands of intelligence. This volume contains papers selected for presentation at the 3rd Hellenic Conference on Arti?cial Intelligence (SETN 2004), the o?cial meeting of the Hellenic Society for Arti?cial Intelligence (EETN). The ?rst meeting was held in the University of Piraeus, 1996 and the second in the Aristotle University of Thessaloniki (AUTH), 2002. SETN conferences play an important role in the dissemination of the in- vative and high-quality scienti?c results in arti?cial intelligence which are being produced mainly by Greek scientists in institutes all over the world. However, the most important e?ect of SETN conferences is that they provide the context in which people meet and get to know each other, as well as a very good opp- tunity for students to get closer to the results of innovative arti?cial intelligence research.

Contents:

Invited Talks

Constraint Satisfaction, Complexity, and Logic

Dynamic Discovery, Invocation and Composition of Semantic Web Services

Information Management

Data Brokers: Building Collections through Automated Negotiation

P2P-DIET: Ad-hoc and Continuous Queries in Peer-to-Peer Networks Using Mobile Agents

Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources

Precise Photo Retrieval on the Web with a Fuzzy Logic\Neural Network-Based Meta-search Engine

Intelligent Web Prefetching Based upon User Profiles - The WebNaut Case

An Intelligent System for Aerial Image Retrieval and Classification

Computationally Intelligent Methods for Mining 3D Medical Images

Text Area Identification in Web Images

A Mixed Reality Learning Environment for Geometry Education

A Multi-criteria Protocol for Multi-agent Negotiations

Clustering XML Documents by Structure

Machine Learning

Music Performer Verification Based on Learning Ensembles

Using the k-Nearest Problems for Adaptive Multicriteria Planning

Focused Crawling Using Temporal Difference-Learning

A Meta-classifier Approach for Medical Diagnosis

Learning In-between Concept Descriptions Using Iterative Induction

Splitting Data in Decision Trees Using the New False-Positives Criterion

Efficient Training Algorithms for the Probabilistic RBF Network

Using k-Nearest Neighbor and Feature Selection as an Improvement to Hierarchical Clustering

Feature Deforming for Improved Similarity-Based Learning

Incremental Mixture Learning for Clustering Discrete Data

A Cost Sensitive Technique for Ordinal Classification Problems

Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms

Towards an Imitation System for Learning Robots

Data Mining and Diagnosis

Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination

Automatic Detection of Abnormal Tissue in Bilateral Mammograms Using Neural Networks

Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms

An Intelligent Tool for Bio-magnetic Signal Processing

Knowledge Representation and Search

Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data

Fuzzy Automata for Fault Diagnosis: A Syntactic Analysis Approach

A Discussion of Some Intuitions of Defeasible Reasoning

Knowledge Representation Using a Modified Earley's Algorithm

Fuzzy Causal Maps in Business Modeling and Performance-Driven Process Re-engineering

Construction and Repair: A Hybrid Approach to Search in CSPs

Arc Consistency in Binary Encodings of Non-binary CSPs: Theoretical and Experimental Evaluation

Inherent Choice in the Search Space of Constraint Satisfaction Problem Instances

Natural Language Processing

Part-of-Speech Tagging in Molecular Biology Scientific Abstracts Using Morphological and Contextual Statistical Information

A Name-Matching Algorithm for Supporting Ontology Enrichment

Text Normalization for the Pronunciation of Non-standard Words in an Inflected Language

Multi-topic Information Filtering with a Single User Profile

Exploiting Cross-Document Relations for Multi-document Evolving Summarization

Invited Session: AI in Power System Operation and Fault Diagnosis

Diagnosing Transformer Faults with Petri Nets

Short-Term Load Forecasting Using Radial Basis Function Networks

Reinforcement Learning (RL) to Optimal Reconfiguration of Radial Distribution System (RDS)

A Multi-agent System for Microgrids

Invited Session: Intelligent Techniques in Image Processing

Automated Medical Image Registration Using the Simulated Annealing Algorithm

Adaptive Rule-Based Facial Expression Recognition

Locating Text in Historical Collection Manuscripts

Semi-automatic Extraction of Semantics from Football Video Sequences

Invited Session: Intelligent Virtual Environments

Agents and Affect: Why Embodied Agents Need Affective Systems

Synthetic Characters with Emotional States

Control and Autonomy for Intelligent Virtual Agent Behaviour

Reflex Movements for a Virtual Human: A Biology Inspired Approach

Integrating miniMin-HSP Agents in a Dynamic Simulation Framework.

Other Format:

Printed edition:

ISBN:

978-3-540-24674-9

9783540246749

Access Restriction:

Restricted for use by site license.