Intelligent Data Engineering and Automated Learning - IDEAL 2008

Learning and Information Processing.- Proposal of Exploitation-Oriented Learning PS-r#.- Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.- Hybrid Weighted Distance Measures and Their Application to Pattern Recognition.- A Multitask Learning Approach to Face Recognition Based on Neural Networks.- Logic Synthesis for FSMs Using Quantum Inspired Evolution.- A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks.- Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification.- A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition.- Distribution Feeder Load Balancing Using Support Vector Machines.- Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost.- Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications.- Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention.- Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART.- A Study on Human Gaze Estimation Using Screen Reflection.- A Novel GA-Taguchi-Based Feature Selection Method.- Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation.- Automatic Order of Data Points in RE Using Neural Networks.- Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds.- Feature Discovery by Enhancement and Relaxation of Competitive Units.- Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification.- A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks.- Semi-supervised Learning with Ensemble Learning and Graph Sharpening.- Exploring Topology Preservation of SOMs with a Graph Based Visualization.- A Class of Novel Kernel Functions.- Data Mining and Information Management.- RP-Tree: A Tree Structure to Discover Regular Patterns in Transactional Database.- Extracting Key Entities and Significant Events from Online Daily News.- Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour.- Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks.- Modular Bayesian Network Learning for Mobile Life Understanding.- Skin Pores Detection for Image-Based Skin Analysis.- An Empirical Research on Extracting Relations from Wikipedia Text.- A Data Perturbation Method by Field Rotation and Binning by Averages Strategy for Privacy Preservation.- Mining Weighted Frequent Patterns Using Adaptive Weights.- On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model.- Guaranteed Network Traffic Demand Prediction Using FARIMA Models.- A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets.- The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular Networks.- Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable.- Bioinformatics and Neuroinformatics.- Cooperative E-Organizations for Distributed Bioinformatics Experiments.- Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy.- A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction.- Control of a Wheelchair by Motor Imagery in Real Time.- Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering.- Building a Spanish MMTx by Using Automatic Translation andBiomedical Ontologies.- Compensation for Speed-of-Processing Effects in EEG-Data Analysis.- Statistical Baselines from Random Matrix Theory.- Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.- Agents and Distributed Systems.- Improving the Relational Evaluation of XML Queries by Means of Path Summaries.- Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach.- When Is Inconsistency Considered Harmful: Temporal Characterization of Knowledge Base Inconsistency.- Intelligent Engineering and Its Application in Policy Simulation.- Design of Directory Facilitator for Agent-Based Service Discovery in Ubiquitous Computing Environments.- Financial Engineering and Modeling.- Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering.- Self-adaptive Mutation Only Genetic Algorithm: An Application on the Optimization of Airport Capacity Utilization.- Cross Checking Rules to Improve Consistency between UML Static Diagram and Dynamic Diagram.- Neural Networks Approach to the Detection of Weekly Seasonality in Stock Trading.- Invited Session.- Bregman Divergences and the Self Organising Map.- Feature Locations in Images.- A Hierarchical Self-organised Classification of 'Multinational' Corporations.- An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression.- Cluster Analysis of Land-Cover Images Using Automatically Segmented SOMs with Textural Information.- Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry.- AI for Modelling the Laser Milling of Copper Components.- Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit.- Single-Layer NeuralNet Competes with Multi-layer Neural Net.- Semi-supervised Growing Neural Gas for Face Recognition.