Intelligent Data Engineering and Automated Learning - IDEAL 2006

Learning and Information Processing.- On Some of the Neural Mechanisms Underlying Adaptive Behavior.- On Correlation Measures of Intuitionistic Fuzzy Sets.- A More Effective Constructive Algorithm for Permutation Flowshop Problem.- A Fast Algorithm for Relevance Vector Machine.- Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model.- A Fast Data Preprocessing Procedure for Support Vector Regression.- Classification by Weighting, Similarity and kNN.- An Improved EM Algorithm for Statistical Segmentation of Brain MRI.- Process State and Progress Visualization Using Self-Organizing Map.- Exploiting Spatio–temporal Data for the Multiobjective Optimization of Cellular Automata Models.- Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters.- A New Model Selection Method for SVM.- Speed-Up LOO-CV with SVM Classifier.- Integration of Strategies Based on Relevance Feedback into a Tool for the Retrieval of Mammographic Images.- Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models.- Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process.- Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.- A Neural Stochastic Optimization Framework for Oil Parameter Estimation.- Bootstrap Prediction Intervals for Nonlinear Time-Series.- Effectiveness of Considering State Similarity for Reinforcement Learning.- On the Structural Robustness of Evolutionary Models of Cooperation.- Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes.- Visual Sensitivity Analysis for Artificial Neural Networks.- Performance of BSDT Decoding Algorithms Based on Locally Damaged Neural Networks.- K Nearest Sequence Method and Its Application to Churn Prediction.- Evolutionary Computation Technique Applied to HSPF Model Calibration of a Spanish Watershed.- Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series.- Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS.- The Topographic Neural Gas.- A Fast Classification Algorithm Based on Local Models.- Human Activity Recognition in Videos: A Systematic Approach.- Application of Artificial Neural Network to Building Compartment Design for Fire Safety.- A Method of Motion Segmentation Based on Region Shrinking.- A Family of Novel Clustering Algorithms.- Vector Quantization Segmentation for Head Pose Estimation.- Neural Network Detectors for Composite Hypothesis Tests.- Automatic Sound Classification for Improving Speech Intelligibility in Hearing Aids Using a Layered Structure.- Directed Laplacian Kernels for Link Analysis.- Pruning Adaptive Boosting Ensembles by Means of a Genetic Algorithm.- On the Fusion of Polynomial Kernels for Support Vector Classifiers.- Speech and Gesture Recognition-Based Robust Language Processing Interface in Noise Environment.- Heterogeneous Answer Acquisition Methods in Encyclopedia QA.- Face Recognition Using DCT and Hierarchical RBF Model.- Chaotic Dynamics for Avoiding Congestion in the Computer Network.- Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification.- Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis.- Thinking Capability of Saplings Growing Up Algorithm.- Functional Networks and the Lagrange Polynomial Interpolation.- The Evolution of OSI Network Management by Integrated the Expert Knowledge.- Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.- Multi Criteria Wrapper Improvements to Naive Bayes Learning.- BP Neural Networks Combined with PLS Applied to Pattern Recognition of Vis/NIRs.- Speeding Up Shape Classification by Means of a Cyclic Dynamic Time Warping Lower Bound.- Using Genetic Algorithm for Network Status Learning and Worm Virus Detection Scheme.- Clustering by Integrating Multi-objective Optimization with Weighted K-Means and Validity Analysis.- Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.- Learning Discrete Probability Distributions with a Multi-resolution Binary Tree.- Combining Unsupervised and Supervised Approaches to Feature Selection for Multivariate Signal Compression.- Cohesion Factors: Improving the Clustering Capabilities of Consensus.- Using Neural Networks to Detect Microfossil Teeth in Somosaguas Sur Paleontological Site.- A Fast Grid Search Method in Support Vector Regression Forecasting Time Series.- Fast Global k-Means with Similarity Functions Algorithm.- NN-Based Detector for Known Targets in Coherent Weibull Clutter.- ICA with Sparse Connections.- Two-Stage User Mobility Modeling for Intention Prediction for Location-Based Services.- Partition-Based Similarity Joins Using Diagonal Dimensions in High Dimensional Data Spaces.- Evolving Feed-forward Neural Networks Through Evolutionary Mutation Parameters.- Computer Interface Using Eye Tracking for Handicapped People.- Local Negative Correlation with Resampling.- Convex Perceptrons.- Hybridizing Cultural Algorithms and Local Search.- ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring.- Data Mining, Retrieval and Management.- Electroencephalogram Signals from Imagined Activities: A Novel Biometric Identifier for a Small Population.- Resolving Ambiguities in the Semantic Interpretation of Natural Language Questions.- Mining the K-Most Interesting Frequent Patterns Sequentially.- Discovering Non-taxonomic Relations from the Web.- A New Algorithm of Similarity Measuring for Multi-experts’ Qualitative Knowledge Based on Outranking Relations in Case-Based Reasoning Methodology.- Comparing and Combining Spatial Dimension Reduction Methods in Face Verification.- A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis.- CBR Model for the Intelligent Management of Customer Support Centers.- Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions.- Application of Bidirectional Probabilistic Character Language Model in Handwritten Words Recognition.- Efficient Classification Method for Complex Biological Literature Using Text and Data Mining Combination.- Classifying Polyphony Music Based on Markov Model.- Two Phase Semi-supervised Clustering Using Background Knowledge.- Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes.- Automatic Extraction and Classification of Footwear Patterns.- Description of Combined Spatial Relations Between Broad Boundary Regions Based on Rough Set.- Active Sketch for Finding Primary Structures in Images.- Shape Matching Using Chord-Length Function.- Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles.- Sentence Ordering in Extractive MDS.- Query Expansion with an Automatically Generated Thesaurus.- An Interactive Hybrid System for Identifying and Filtering Unsolicited E-mail.- Topological Tree Clustering of Web Search Results.- Reduced Attribute Oriented Inconsistency Handling in Decision Generation.- A Non-parametric Method for Data Clustering with Optimal Variable Weighting.- A Closed Model for Measuring Intangible Assets: A New Dimension of Profitability Applying Neural Networks.- Audio and Video Feature Fusion for Activity Recognition in Unconstrained Videos.- Multi-stage Classification for Audio Based Activity Recognition.- A Simple Approximation for Dynamic Time Warping Search in Large Time Series Database.- Regression Analisys of Segmented Parametric Software Cost Estimation Models Using Recursive Clustering Tool.- An Efficient Attribute Reduction Algorithm.- Conceptual Classification to Improve a Web Site Content.- Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer.- Using Rules Discovery for the Continuous Improvement of e-Learning Courses.- Generating Adaptive Presentations of Hydrologic Behavior.- A New Measure for Query Disambiguation Using Term Co-occurrences.- Unsupervised Word Categorization Using Self-Organizing Maps and Automatically Extracted Morphs.- Effective Classification by Integrating Support Vector Machine and Association Rule Mining.- A Design of Dynamic Network Management System.- QoS Multicast Routing Based on Particle Swarm Optimization.- Evolutionary Search of Optimal Features.- Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval.- Evidential Integration of Semantically Heterogeneous Aggregates in Distributed Databases with Imprecision.- Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction.- Strangeness Minimisation Feature Selection with Confidence Machines.- Indexing and Mining of Graph Database Based on Interconnected Subgraph.- Evaluation of Decision Tree Pruning with Subadditive Penalties.- Categorization of Large Text Collections: Feature Selection for Training Neural Networks.- Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach.- State Aggregation in Higher Order Markov Chains for Finding Online Communities.- Functional Networks and Analysis of Variance for Feature Selection.- Automatic Categorization of Patent Applications Using Classifier Combinations.- Best Subset Feature Selection for Massive Mixed-Type Problems.- Planning Under Uncertainty with Abstraction Hierarchies.- Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks.- An Improved Discrete Immune Network for Multimodal Optimization.- Bioinformatics and Bio-inspired Models.- Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data.- Applying GCS Networks to Fuzzy Discretized Microarray Data for Tumour Diagnosis.- Refractory Effects of Chaotic Neurodynamics for Finding Motifs from DNA Sequences.- Neighborhood-Based Clustering of Gene-Gene Interactions.- Gene Expression Profiling Using Flexible Neural Trees.- Multivariate Crosstalk Models.- Decision Making Association Rules for Recognition of Differential Gene Expression Profiles.- Application of Chemoinformatics to the Structural Elucidation of Natural Compounds.- Agents and Hybrid Systems.- Intelligent Coordinated Control of Multiple Teleoperated Robots.- SMas: A Shopping Mall Multiagent Systems.- Protecting Agent from Attack in Grid ComputingII.- A Graph Transformation System Model of Dynamic Reorganization in Multi-agent Systems.- Efficient Search of Winning Strategies in Multi-agent Systems on Random Network: Importance of Local Solidarity.- Heterogeneous Domain Ontology for Location Based Information System in a Multi-agent Framework.- Intelligent Data Analysis for the Verification of Multi-Agent Systems Interactions.- Multi-agent Based Hybrid System for Dynamic Web-Content Adaptation.- Strategic Software Agents in Continuous Double Auction Under Dynamic Environments.- Student Modeling for Adaptive Teachable Agent to Enhance Interest and Comprehension.- An Agent-Based Model of Personal Web Communities.- A Conceptual Framework for Automated Negotiation Systems.- Development of New IFC-BRIDGE Data Model and a Concrete Bridge Design System Using Multi-agents.- Multi-Agent Systems over RT-Java for a Mobile Robot Control.- Financial Engineering.- Financial Risk Modeling with Markov Chains.- CNY Realignment and USD Expectation: Empirical Study Based on RND Function of Currency Option.- Investment Selection and Risk Management for Insurance Corporation.- Knowledge-Based Risk Assessment Under Uncertainty in Engineering Projects.- Fuzzy Regression with Quadratic Programming: An Application to Financial Data.- Special Session on Nature-Inspired Date Technologies.- Improving Search in Unstructured P2P Systems: Intelligent Walks (I-Walks).- Evolutionary Product-Unit Neural Networks for Classification.- Uncentered (Absolute) Correlation Clustering Method Fit for Establishing Theoretical SAPK/JNK Signaling Pathway in Human Soft Tissue Sarcoma Samples.- Guiding Genetic Program Based Data Mining Using Fuzzy Rules.- Neural Network Models for Language Acquisition: A Brief Survey.- Incorporating Knowledge in Evolutionary Prototype Selection.- Evidence Relationship Matrix and Its Application to D-S Evidence Theory for Information Fusion.- Soft Computing in Context-Sensitive Multidimensional Ranking.- Ontology-Based Classifier for Audio Scenes in Telemedicine.- PSO and ACO in Optimization Problems.- Constraints in Particle Swarm Optimization of Hidden Markov Models.- Nature-Inspired Approaches to Mining Trend Patterns in Spatial Databases.- A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.- MOVICAB-IDS: Visual Analysis of Network Traffic Data Streams for Intrusion Detection.- Maximum Likelihood Topology Preserving Ensembles.