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Volumn 53, Issue 1, 2010, Pages 64-76

Exploiting remote learners in Internet environment with agents

Author keywords

Aggregative learning; Data mining; Internet environment; Machine learning; Mobile agent

Indexed keywords


EID: 76149138033     PISSN: 10092757     EISSN: 18622836     Source Type: Journal    
DOI: 10.1007/s11432-010-0011-2     Document Type: Article
Times cited : (4)

References (17)
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  • 8
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    • Chawla N V, Hall L O, Bowyer K W, et al. Learning ensembles from bites: A scalable and accurate approach. J Mach Learn Research, 2004, 5: 421-451.
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    • Chawla, N.V.1    Hall, L.O.2    Bowyer, K.W.3
  • 10
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    • In search of the wisdom web
    • Zhong N, Liu J, Yao Y. In search of the wisdom web. IEEE Comput, 2002, 35: 27-31.
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    • Zhong, N.1    Liu, J.2    Yao, Y.3
  • 11
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    • Ensemble
    • L. Liu, T. Özsu (Eds.), Berlin: Springer
    • Zhou Z H. Ensemble. In: Liu L, Özsu T, eds. Encyclopedia of Database Systems, Berlin: Springer, 2009.
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    • Zhou, Z.H.1
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    • Additive logistic regression: A statistical view of Boosting with discussions
    • Friedman J, Hastie T, Tibshirani R. Additive logistic regression: A statistical view of Boosting with discussions. Ann Stat, 2000, 28: 337-407.
    • (2000) Ann Stat , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 15
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    • Irvine: Department of Information and Computer Science, University of California
    • Blake C, Keogh E, Merz C J. UCI repository of machine learning databases. [http://www.ics.uci.edu/mlearn/MLRepository.html], Department of Information and Computer Science, University of California, Irvine, 1998.
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    • Blake, C.1    Keogh, E.2    Merz, C.J.3
  • 17
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    • Ensembling neural networks: Many could be better than all
    • Zhou Z H, Wu J, Tang W. Ensembling neural networks: Many could be better than all. Artif Intell, 2002. 137: 239-263.
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    • Zhou, Z.H.1    Wu, J.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.