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Volumn , Issue , 2010, Pages

Exploration vs. exploitation in active learning: A Bayesian approach

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

EID: 79959485217     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596815     Document Type: Conference Paper
Times cited : (30)

References (16)
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    • Shannon, C.E.1
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    • Active exploration in dynamic environments
    • John E. Moody, Steve J. Hanson, and Richard P. Lippmann, editors, Morgan Kaufmann Publishers, Inc.
    • Sebastian B. Thrun and Knut Möller. Active exploration in dynamic environments. In John E. Moody, Steve J. Hanson, and Richard P. Lippmann, editors, Advances in Neural Information Processing Systems, volume 4, pages 531-538. Morgan Kaufmann Publishers, Inc., 1992.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 531-538
    • Thrun, S.B.1    Möller, K.2
  • 8
    • 33750360046 scopus 로고    scopus 로고
    • Balancing exploration and exploitation: A new algorithm for active machine learning
    • Washington, DC, USA, IEEE Computer Society
    • T. Osugi, D. Kun, and S. Scott. Balancing exploration and exploitation : A new algorithm for active machine learning. In ICDM '05 : Proceedings of the Fifth IEEE International Conference on Data Mining, pages 330-337,Washington, DC, USA, 2005. IEEE Computer Society.
    • (2005) ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining , pp. 330-337
    • Osugi, T.1    Kun, D.2    Scott, S.3
  • 10
    • 37149038648 scopus 로고    scopus 로고
    • Incorporating diversity and density in active learning for relevance feedback
    • Z. Xu, R. Akella, and Y. Zhang. Incorporating diversity and density in active learning for relevance feedback. In ECIR (European Conference on Information Retrieval), volume 4425, pages 246-257, 2007.
    • (2007) ECIR (European Conference on Information Retrieval) , vol.4425 , pp. 246-257
    • Xu, Z.1    Akella, R.2    Zhang, Y.3
  • 11
    • 1942517333 scopus 로고    scopus 로고
    • Incorporating Diversity in Active Learning with Support Vector Machines
    • K. Brinker. Incorporating Diversity in Active Learning with Support Vector Machines. In ICML : International Conference on Machine Learning, pages 59-66, 2003.
    • (2003) ICML: International Conference on Machine Learning , pp. 59-66
    • Brinker, K.1
  • 13
    • 68949137209 scopus 로고    scopus 로고
    • Active learning literature survey
    • University of Wisconsin-Madison
    • Burr Settles. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2009.
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    • Settles, B.1
  • 14
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    • MODL: A bayes optimal discretization method for continuous attributes
    • M. Boullé. MODL : A bayes optimal discretization method for continuous attributes. Machine Learning, 65(1) :131-165, 2006.
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    • Boullé, M.1
  • 16
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    • Incremental Induction of Decision Trees
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    • Utgoff, P.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.