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 and Biomedical 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 Neural Net Competes with Multi-layer Neural Net -- Semi-supervised Growing Neural Gas for Face Recognition.