智能數(shù)據(jù)工程與自動(dòng)化學(xué)習(xí)/Intelligent data engineering and automated learning

內(nèi)容概要

This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006, held in Burgos, Spain in September 2006.    The 170 revised full papers presented were carefully reviewed and 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.

書(shū)籍目錄

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  ……Data Mining,Retrieval and ManagementBioinformatics and Bio-inspired ModelsAgents and Hybrid SystemsFinancial EngineeringSpecial Session on Nature-Inspired Date TechnologiesAuthor Index

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