Skip to main content
Springer Nature Link
Log in

Intelligent Data Engineering and Automated Learning - IDEAL 2006

7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Emilio Corchado

    1. Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Burgos, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Hujun Yin

    1. School of Electrical and Electronic Engineering, University of Manchester, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Vicente Botti

    1. Department of Information Systems and Computation, Technical University of Valencia, Camino de Vera, Valencia, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Colin Fyfe

    1. University of West Scotland, Paisley, Scotland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4224)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDEAL 2006.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

Since its establishment in Hong Kong in 1998,the international Intelligent Data Engineering and Automated Learning (IDEAL) conference has become a r- erence for researchers in both theoretical and practical aspects of learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems and ?nancial engineering. The purpose of IDEAL conferences has been to provide a broad and interd- ciplinary forum for scientists, researchers, and practitioners in these areas from around the world. A special feature of IDEAL conferences is cross-disciplinary exchange of ideas in emerging topics and application in these areas. Data ana- sis and engineering and associated learning paradigms are playing increasingly important roles in an increasing number of applications and ?elds. The mul- disciplinary nature of contemporary research is pushing the boundaries and one of the principal aims of the IDEAL conferences is to promote interactions and collaborations across disciplines. This volume of Lecture Notes in Computer Science contains accepted - pers presented at IDEAL 2006 held at the University of Burgos, Spain, during, September 20–23, 2006. The conference received 557 submissions from over 40 countriesaroundtheworld,whichweresubsequentlyrefereedbytheProgramme Committeeandmanyadditionalreviewers.Afterrigorousreview,170top-quality papers were accepted and included in the proceedings. The acceptance rate was only 30%, which ensured an extremely high-quality standard of the conference. The buoyant number of submitted papers is a clear proof of the vitality and increased importance of the ?elds related to IDEAL, and is also an indication of the rising popularity of the IDEAL conferences.

Similar content being viewed by others

Keywords

Table of contents (170 papers)

  1. Front Matter

    Download chapter PDF

  2. Learning and Information Processing

    1. On Some of the Neural Mechanisms Underlying Adaptive Behavior

      • José Mira Mira
      Pages 1-15

    2. On Correlation Measures of Intuitionistic Fuzzy Sets

      • Zeshui Xu
      Pages 16-24

    3. A More Effective Constructive Algorithm for Permutation Flowshop Problem

      • Xingye Dong, Houkuan Huang, Ping Chen
      Pages 25-32

    4. A Fast Algorithm for Relevance Vector Machine

      • Zheng Rong Yang
      Pages 33-39

    5. Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model

      • Iván Olier, Alfredo Vellido
      Pages 40-47

    6. A Fast Data Preprocessing Procedure for Support Vector Regression

      • Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
      Pages 48-56

    7. Classification by Weighting, Similarity and kNN

      • Naohiro Ishii, Tsuyoshi Murai, Takahiro Yamada, Yongguang Bao
      Pages 57-64

    8. An Improved EM Algorithm for Statistical Segmentation of Brain MRI

      • Yong Yang
      Pages 65-72

    9. Process State and Progress Visualization Using Self-Organizing Map

      • Risto Hakala, Timo Similä, Miki Sirola, Jukka Parviainen
      Pages 73-80

    10. Exploiting Spatio–temporal Data for the Multiobjective Optimization of Cellular Automata Models

      • Giuseppe A. Trunfio
      Pages 81-89

    11. Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters

      • Enrique Romero, Daniel Toppo
      Pages 90-98

    12. A New Model Selection Method for SVM

      • G. Lebrun, O. Lezoray, C. Charrier, H. Cardot
      Pages 99-107

    13. Speed-Up LOO-CV with SVM Classifier

      • G. Lebrun, O. Lezoray, C. Charrier, H. Cardot
      Pages 108-115

    14. Integration of Strategies Based on Relevance Feedback into a Tool for the Retrieval of Mammographic Images

      • A. Fornells, E. Golobardes, X. Vilasís, J. Martí
      Pages 116-124

    15. Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models

      • Kenji Nagata, Sumio Watanabe
      Pages 125-132

    16. Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process

      • Tae-Chon Ahn, Ho-Sung Park
      Pages 133-138

    17. Upper Bounds for Variational Stochastic Complexities of Bayesian Networks

      • Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
      Pages 139-146

    18. A Neural Stochastic Optimization Framework for Oil Parameter Estimation

      • Rafael E. Banchs, Hector Klie, Adolfo Rodriguez, Sunil G. Thomas, Mary F. Wheeler
      Pages 147-154

    19. Bootstrap Prediction Intervals for Nonlinear Time-Series

      • Daisuke Haraki, Tomoya Suzuki, Tohru Ikeguchi
      Pages 155-162
Back to top

Editors and Affiliations

  • Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Burgos, Spain

    Emilio Corchado

  • School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  • Department of Information Systems and Computation, Technical University of Valencia, Camino de Vera, Valencia, Spain

    Vicente Botti

  • University of West Scotland, Paisley, Scotland

    Colin Fyfe

Bibliographic Information

Publish with us

Policies and ethics

Back to top