Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science - Info and Reading Options
By Emilio Corchado

"Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science" was published by Springer in 2008 - Berlin, Heidelberg and it has 1174 pages.
“Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science” Metadata:
- Title: ➤ Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science
- Author: Emilio Corchado
- Number of Pages: 1174
- Publisher: Springer
- Publish Date: 2008
- Publish Location: Berlin, Heidelberg
“Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science” Subjects and Themes:
- Subjects: ➤ Computer science - Database management - Data mining - Information networks - Artificial intelligence - Computer software - Congresses - Intelligent agents (Computer software) - Bases de données - Congrès - Gestion - Exploration de données (Informatique) - Agents intelligents (Logiciels) - Informatique
Edition Identifiers:
- The Open Library ID: OL26115278M - OL17526075W
- Online Computer Library Center (OCLC) ID: 232363526 - 185038802
- Library of Congress Control Number (LCCN): 2007941157
- ISBN-13: 9783540772255 - 9783540772262
- All ISBNs: 9783540772255 - 9783540772262
AI-generated Review of “Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science”:
"Intelligent Data Engineering and Automated Learning IDEAL 2007 Lecture Notes in Computer Science" Description:
Open Data:
Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Support Function Machines -- Introduction -- Support Function Machines Model -- Learning Algorithm -- Application Examples -- Harm Forecast of Horsetail Pine Worms -- Stock Price Predictions -- Conclusions -- Different Bayesian Network Models in the Classification of Remote Sensing Images -- Introduction -- Bayesian Networks -- Bayesian Network Classifiers -- Remote Sensing Image Classification -- An Example of Multispectral Data Set Analysis -- An Example of Hyperspectral Data Set Analysis -- Conclusions -- Group Decision Making with Triangular Fuzzy Linguistic Variables -- Introduction -- Triangular Fuzzy Linguistic Variables -- Some Aggregation Operators -- A Method for Group Decision Making with Triangular Fuzzy Linguistic Variables -- Illustrative Example -- Concluding Remarks -- References -- Sparse Kernel Modelling: A Unified Approach -- Introduction -- A Unified Framework for Data Modelling -- Orthogonal-Least-Squares Algorithm -- Sparse Kernel Regression Model Construction -- Sparse Kernel Classifier Construction -- Sparse Kernel Density Estimator Construction -- Empirical Data Modelling Results -- Conclusions -- Advanced Forecasting and Classification Technique for Condition Monitoring of Rotating Machinery -- Introduction -- Preparation of Inputs for the Predictor -- Forecasting Technique and Predictor Architecture -- Classification Technique and Overall Scheme -- Conclusions and Outlook -- References -- Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles -- Introduction -- Monte Carlo Ensemble Learning -- Error Curves for Bagging Ensembles -- Bias Analysis -- Out of Bootstrap Estimation -- Experiments -- Conclusions -- An Edit Distance Approach to Shallow Semantic Labeling -- Introduction
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