This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006. The 170 revised full papers presented were carefully selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.
Inhalt
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 F…