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2013 Fiscal Year Final Research Report

Ensemble Learning with Negative Correlation and Complexity Estimation

Research Project

  • PDF
Project/Area Number 23500282
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Sensitivity informatics/Soft computing
Research InstitutionThe University of Aizu

Principal Investigator

LIU YONG  会津大学, コンピュータ理工学部, 准教授 (60325967)

Project Period (FY) 2011 – 2013
Keywordsニューラルネットワーク
Research Abstract

Balanced ensemble learning method has been implemented from negative correlation learning. Balanced ensemble learning is able to create weak learning models by changing the learning error functions with the shifted target values. Such learning functions cannot only help in controlling the complexity of the neural network ensembles, but also improve the accuracy of classifications of the learning models.
In comparison, negative correlation learning is able to generate strong learning models. An novel transition learning method between balanced ensemble learning and negative correlation learning has been proposed. The complexity of the learning models could be controlled during the transition period in the learning process.

  • Research Products

    (13 results)

All 2013 2012 2011

All Presentation (12 results) Book (1 results)

  • [Presentation] Transition Learning for Creating Diverse Neural Networks2013

    • Author(s)
      Y. Liu
    • Organizer
      Proceedings of the 6th International Conference on BioMedical Engineering and Informatics
    • Place of Presentation
      杭州, 中国
    • Year and Date
      20131200
  • [Presentation] Make Decision Boundary Smoother by Transition Learning2013

    • Author(s)
      Y. Liu, Qiangfu Zhao and Neil Yen
    • Organizer
      Proceedings of the 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing
    • Place of Presentation
      会津大学, 日本
    • Year and Date
      20131100
  • [Presentation] Transition Learning by Negative Correlation Learning2013

    • Author(s)
      Y. Liu
    • Organizer
      Proceedings of the Second International Conference on Innovative Computing and Cloud Computing (ICCC2013)
    • Place of Presentation
      武漢, 中国
    • Year and Date
      20131100
  • [Presentation] Induction of High Performance Neural Networks Based on Decision Boundary Making2013

    • Author(s)
      Y. Kaneda, Qiangfu Zhao, Yong Liu , Neil Yen
    • Organizer
      Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2013)
    • Place of Presentation
      マンチェスター, 英国
    • Year and Date
      20131000
  • [Presentation] Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning2013

    • Author(s)
      Y. Liu, Qiangfu Zhao, Neil Yen
    • Organizer
      Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2013)
    • Place of Presentation
      マンチェスター, 英国
    • Year and Date
      20131000
  • [Presentation] Variation Aware Control for Reliability2012

    • Author(s)
      Yong Liu, Qiangfu Zhao, Neil Yen
    • Organizer
      Proceedings of the 2012 IEEE International Conference on Systems, Man and Cybernetics
    • Place of Presentation
      ソウル, 韓国
    • Year and Date
      20121000
  • [Presentation] Balanced Ensemble Learning between Known and Unknown Data2012

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 6th International Symposium on Intelligence Computation and Applications
    • Place of Presentation
      武漢, 中国
    • Year and Date
      20121000
  • [Presentation] Constraint Awareness in Balanced Ensemble Learning2012

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 4th International Conference on Awareness Science and Technology
    • Place of Presentation
      ソウル, 韓国
    • Year and Date
      20120800
  • [Presentation] New Discoveries in Balanced Ensemble Learning2012

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012)
    • Place of Presentation
      ブリスベン, オーストラリア
    • Year and Date
      20120600
  • [Presentation] Balancing Ensemble Learning through Error Shift2011

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the Fourth International Workshop on Advanced Computational Intelligence
    • Place of Presentation
      武漢, 中国
    • Year and Date
      20111000
  • [Presentation] Create Weak Learners with Small Neural Networks by Balanced Ensemble Learning2011

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 2011 IEEE International Conference on Signal Processing, Communications and Computing
    • Place of Presentation
      西安, 中国
    • Year and Date
      20110900
  • [Presentation] Target Shift Awareness in Balanced Ensemble Learning2011

    • Author(s)
      Yong Liu
    • Organizer
      Proceedings of the 3rd International Conference on Awareness Science and Technology
    • Place of Presentation
      大連, 中国
    • Year and Date
      20110900
  • [Book] Computational Intelligence and Intelligent Systems2012

    • Author(s)
      Zhenhua Li, Xiang Li, Yong Liu, Zhihua Cai
    • Total Pages
      640
    • Publisher
      Springer

URL: 

Published: 2015-07-16  

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