Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings / edited by Marcus Gallagher, James Hogan, Frederic Maire.

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Gallagher, Marcus (Editor), Hogan, James (Editor), Maire, Frederic (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edition:	1st ed. 2005.
Series:	Information Systems and Applications, incl. Internet/Web, and HCI ; 3578 Springer eBook Collection.
Subjects:	Database management. Algorithms. Artificial intelligence. Information storage and retrieval. Application software. Computers and civilization. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

Data Mining and Knowledge Engineering
EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data
Synthetic Environment Representational Semantics Using the Web Ontology Language
New Rules for Hybrid Spatial Reasoning
Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments
Model Trees for Classification of Hybrid Data Types
Finding Uninformative Features in Binary Data
Knowledge Reduction of Rough Set Based on Partition
Multiresolution Analysis of Connectivity
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm
Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique
Automatic Image Annotation Based on Topic-Based Smoothing
A Focused Crawler with Document Segmentation
An Intelligent Grading System Using Heterogeneous Linguistic Resources
Probabilistic Data Generation for Deduplication and Data Linkage
Mining Job Logs Using Incremental Attribute-Oriented Approach
Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components
Classification by Instance-Based Learning Algorithm
Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter
Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain
Using Support Vector Machine for Modeling of Pulsed GTAW Process
Design of Simple Structure Neural Voltage Regulator for Power Systems
EEG Source Localization for Two Dipoles in the Brain Using a Combined Method
Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller
Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
Learning Algorithms and Systems
Neural Networks: A Replacement for Gaussian Processes?
A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection
Bayesian Radial Basis Function Neural Network
An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification
Designing an Optimal Network Using the Cross-Entropy Method
Generating Predicate Rules from Neural Networks
Improving Ensembles with Classificational Cellular Automata
A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection
A Novel Anomaly Detection Using Small Training Sets
Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees
Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement
Sequential Search for Decremental Edition
Bearing Similarity Measures for Self-organizing Feature Maps
Efficient Spatial Clustering Algorithm Using Binary Tree
Cluster Analysis of High-Dimensional Data: A Case Study
Universal Clustering with Family of Power Loss Functions in Probabilistic Space
Circular SOM for Temporal Characterisation of Modelled Gene Expressions
Recursive Self-organizing Map as a Contractive Iterative Function System
Differential Priors for Elastic Nets
Graphics Hardware Implementation of the Parameter-Less Self-organising Map
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
SOM-Based Novelty Detection Using Novel Data
Multi-level Document Classifications with Self-organising Maps
Bioinformatics
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Matching Peptide Sequences with Mass Spectra
Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources
A Multi-population ? 2 Test Approach to Informative Gene Selection
Gene Selection of DNA Microarray Data Based on Regularization Networks
Application of Mixture Models to Detect Differentially Expressed Genes
A Comparative Study of Two Novel Predictor Set Scoring Methods
Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm
SVM Based Prediction of Bacterial Transcription Start Sites
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Protein Fold Recognition Using Neural Networks and Support Vector Machines
Agents and Complex Systems
Support Tool for Multi-agent Development
A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE
Toward Transitive Dependence in MAS
An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment
Autonomous and Dependable Recovery Scheme in UPnP Network Settings
A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation
A Multi-agent Based Context Aware Self-healing System
Combining Influence Maps and Cellular Automata for Reactive Game Agents
Patterns in Complex Systems Modeling
Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square
Co-evolutionary Rule-Chaining Genetic Programming
A Dynamic Migration Model for Self-adaptive Genetic Algorithms
Financial Engineering
A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment
Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models
Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia
A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets.

Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings / edited by Marcus Gallagher, James Hogan, Frederic Maire.

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