This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Inhalt

Agents.- A Two-Stage Bayesian Network for Effective Development of Conversational Agent.- Intelligent Agent Technology in E-commerce.- Connected Replicator Dynamics and Their Control in a Learning Multi-agent System.- Agent-Based Modeling of Efficient Markets.- Agent Compromises in Distributed Problem Solving.- A Multi-agent System for Emergency Decision Support.- The Artificial Ecosystem: A Multiagent Architecture.- Noise Correction in Genomic Data.- Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning.- Revocable Anonymity of Undeniable Signature Scheme.- Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent.- An Enhanced Security Model for Mobile Agent System.- A Ring-Based Architectural Model for Middle Agents in Agent-Based System.- Belief Revision for Adaptive Recommender Agents in E-commerce.- Managing Fault Tolerance Information in Multi-agents Based Distributed Systems.- Agent-Based Layered Intelligent Information Integration System Using Ontology and Metadata Registry.- Fluctuation in Multi-agent System of Supermarket Chain Network.- Automated Learning.- A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach.- Learning from Average Experience.- The Inductive Inverse Kinematics Algorithm for Manipulating the Posture of an Articulated Body.- A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting.- On the Effects of Outliers on Evolutionary Optimization.- Initialising Self-Organising Maps.- On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.- Exploiting Heterogeneous Features for Classification Learning.- Locally Balanced Incremental Hierarchical Discriminant Regression.- A Comparative Study of Several Cluster Number Selection Criteria.- Automating Stock Prediction with Neural Network and Evolutionary Computation.- Estimation of Diffusion Parameters by a Nonparametric Drift Function Model.- Temporal Difference Coding in Reinforcement Learning.- Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction.- Generating Explicit Self-Organizing Maps by Information Maximization.- A Clustering Approach to the Vision-Based Interface for Interactive Computer Games.- Evolution at Learning: How to Promote Generalization?.- Automatic Extraction of Moving Objects Using Distributed Genetic Algorithms.- The Approach for Data Warehouse to Answering Spatial OLAP Queries.- A Hybrid Search Algorithm of Ant Colony Optimization and Genetic Algorithm Applied to Weapon-Target Assignment Problems.- Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning.- Dynamic Construction of Category Hierarchy Using Fuzzy Relational Products.- Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization.- AD+Tree: A Compact Adaptation of Dynamic AD-Trees for Efficient Machine Learning on Large Data Sets.- Evolvable Hardware Using Genetic Programming.- Minimal Addition-Subtraction Sequences for Efficient Pre-processing in Large Window-Based Modular Exponentiation Using Genetic Algorithms.- Hybrid Recommendation: Combining Content-Based Prediction and Collaborative Filtering.- A Tolerance Concept in Data Clustering.- Power Control and Evolutionary Computation in CDMA Cellular Radio Networks.- A Novel Multiobjective Evolutionary Algorithm Based on Min-Max Strategy.- Dynamics of Gradient-Based Learning and Applications to Hyperparameter Estimation.- Nonlinear Multidimensional Data Projection and Visualisation.- Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.- On Hadamard-Type Output Coding in Multiclass Learning.- An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach.- Empirical Comparison between Two Computational Strategies for Topological Self-Organization.- A Novel Orthogonal Simulated Annealing Algorithm for Optimization of Electromagnetic Problems.- Diversity Control to Improve Convergence Rate in Genetic Algorithms.- A Perception Evaluation Scheme for Steganography.- Clustering Individuals in Non-vector Data and Predicting: A Novel Model-Based Approach.- A Fuzzy Multi-criteria Decision Model for Information System Security Investment.- Blind Equalization Using RBF and HOS.- A Guided Monte Carlo Approach to Optimization Problems.- Editing and Training for ALVOT, an Evolutionary Approach.- Consensus-Based Adaptive Interface Construction for Multiplatform Web Applications.- Portfolio Management for Pension Funds.- Multiple Ant Colony Optimization for Load Balancing.- Exploring Memory Access Regularity in Pointer-Intensive Application Programs.- Nonlinear Dimension Reduction via Local Tangent Space Alignment.- Bioinformatics.- System for Intelligent Processing and Recognition of Auditory Brainstem Response (ABR ) Signals.- Protein Structure Modeling Using a Spatial Model for Structure Comparison.- DNA Algorithms for Rough Set Analysis.- Input Selection and Rule Generation in Adaptive Neuro-fuzzy Inference System for Protein Structure Prediction.- Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps.- Probability Model Type Sufficiency.- Higher-Order Hidden Markov Models with Applications to DNA Sequences.- Classification of the Risk Types of Human Papillomavirus by Decision Trees.- Data Mining.- An Effective Rough Set-Based Method for Text Classification.- Abrupt Shot Change Detection Using Multiple Features and Classification Tree.- On a Lip Print Recognition by the Pattern Kernel with Multi-resolution Architecture.- A XML-Based Data Communication Solution for Program Mining.- Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.- Extraction of Dynamic User Behaviors from Web Logs.- SEMIR: Semantic Indexing and Retrieving Web Document Using Rhetorical Structure Theory.- Generating Representative from Clusters of Association Rules on Numeric Attributes.- Grid-Based Indexing for Large Time Series Databases.- E.Coli Search: Self Replicating Agents for Web Based Information Retrieval.- An Efficient Mining Method for Incremental Updation in Large Databases.- Selectivity Estimation for Optimizing Similarity Query in Multimedia Databases.- Related Factors of Document Classification Performance in a Highly Inflectional Language.- Customer Loyalty on Recurring Loans.- Convolution Kernels for Outliers Detection in Relational Data.- Association Rule Mining Algorithms for Set-Valued Data.- A Data Mining Based Intrusion Detection Model.- Semantics Based Information Retrieval Using Conceptual Indexing of Documents.- Experiences of Using a Quantitative Approach for Mining Association Rules.- Global B+ Tree Indexing in Parallel Database Systems.- Efficient Execution of Parallel Aggregate Data Cube Queries in Data Warehouse Environments.- An Optimal Approach to Mining Boolean Functions from Noisy Data.- Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites.- Metasearch via Voting.- Peculiarity Oriented Mining in Multiple Human Brain Data.- Automatic Classification and Clustering of Caenorhabditis Elegans Using a Computer Vision System.- A Concept-Based Inter-lingua and Its Applications to Multilingual Text and Web Mining.- Flexible Decision Trees in …