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Volumn 21, Issue 9, 2007, Pages 861-881

Learning drifting negotiations

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; FUNCTION EVALUATION; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 35148863617     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510701526954     Document Type: Article
Times cited : (17)

References (21)
  • 1
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • Aha, D. W., D. Kibler, and M. K. Albert, 1991. Instance-based learning algorithms. Machine Learning 6(1):37-66.
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.W.1    Kibler, D.2    Albert, M.K.3
  • 5
    • 0036888791 scopus 로고    scopus 로고
    • Using similarity criteria to make issue tradeoffs in auto mated negotiations
    • Faratin, T., C. Sierra, and N. R. Jennings, 2002. Using similarity criteria to make issue tradeoffs in auto mated negotiations. Artificial Intelligence 142(2):205-237.
    • (2002) Artificial Intelligence , vol.142 , Issue.2 , pp. 205-237
    • Faratin, T.1    Sierra, C.2    Jennings, N.R.3
  • 6
    • 0242526826 scopus 로고    scopus 로고
    • An agenda-based framework for multi-issue negotiation
    • Fatima, S., M. Wooldridge, and N. Jennings. 2004. An agenda-based framework for multi-issue negotiation. Artifcial Intelligence 152(1):45.
    • (2004) Artifcial Intelligence , vol.152 , Issue.1 , pp. 45
    • Fatima, S.1    Wooldridge, M.2    Jennings, N.3
  • 7
    • 33749618778 scopus 로고    scopus 로고
    • Learning with drift detection
    • Proc. of the 17th Brazilian Symposium on Artificial Intelligence SBIA'04, Springer
    • Gama, J., P. Medas, G. Castillo, and P. Rodrigues. 2004. Learning with drift detection. In Proc. of the 17th Brazilian Symposium on Artificial Intelligence (SBIA'04) LNAI 3171, pages 286-295. Springer.
    • (2004) LNAI , vol.3171 , pp. 286-295
    • Gama, J.1    Medas, P.2    Castillo, G.3    Rodrigues, P.4
  • 8
    • 84867959178 scopus 로고    scopus 로고
    • Multi-issue negotiation processes by evolutionary simulation, validation and social extensions
    • Gerding E. and D. Bragt. 2003. Multi-issue negotiation processes by evolutionary simulation, validation and social extensions. Computation Economics 2(1): 39-63.
    • (2003) Computation Economics , vol.2 , Issue.1 , pp. 39-63
    • Gerding, E.1    Bragt, D.2
  • 9
    • 0002896413 scopus 로고
    • Tracking drifting concepts by minimizing disagreements
    • Helmbold, D. P. and P. M. Long. 1994. Tracking drifting concepts by minimizing disagreements. Machine Learning 14(1):27-46.
    • (1994) Machine Learning , vol.14 , Issue.1 , pp. 27-46
    • Helmbold, D.P.1    Long, P.M.2
  • 11
    • 0009300196 scopus 로고    scopus 로고
    • Adaptive information filtering: Learning in the presence of concept drifts
    • Klinkenberg, R. and I. Renz. 1998. Adaptive information filtering: Learning in the presence of concept drifts. AAAI-98/ICML-98, Vol. 1, pp. 33-40.
    • (1998) AAAI-98/ICML-98 , vol.1 , pp. 33-40
    • Klinkenberg, R.1    Renz, I.2
  • 12
    • 31844453033 scopus 로고    scopus 로고
    • Using additive expert ensembles to cope with concept drift
    • Proceedings of the 22nd International. Conference on Machine Learning, Germany, Springer Berlin
    • Kolter, J. Z., and M. A. Maloof. 2005. Using additive expert ensembles to cope with concept drift. In Proceedings of the 22nd International. Conference on Machine Learning, Germany. Lecture Notes in Computer Science, Volume 2366, Springer Berlin.
    • (2005) Lecture Notes in Computer Science , vol.2366
    • Kolter, J.Z.1    Maloof, M.A.2
  • 17
    • 85018095293 scopus 로고
    • Beyond incremental processing: Tracking concept drift
    • AAAI Press
    • Schlimmer, J. and R. Granger. 1986. Beyond incremental processing: Tracking concept drift. In Proceedings of the 5th AAAI Conference, pages 502-507. AAAI Press.
    • (1986) Proceedings of the 5th AAAI Conference , pp. 502-507
    • Schlimmer, J.1    Granger, R.2
  • 18
    • 22544451786 scopus 로고    scopus 로고
    • Learning Concept Drift with a Committee of Decision Trees
    • University of Texas, Department of Computer Science, Technical Report AI-03-302, September
    • Stanley, K. O. 2003. Learning Concept Drift with a Committee of Decision Trees, University of Texas, Department of Computer Science, Technical Report AI-03-302, September.
    • (2003)
    • Stanley, K.O.1
  • 19
    • 26444562687 scopus 로고    scopus 로고
    • The problem of concept drift: Definitions and related work
    • Technical Report TCO-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland
    • Tsymbal, A. 2004. The problem of concept drift: Definitions and related work. Technical Report TCO-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland, 2004.
    • (2004)
    • Tsymbal, A.1
  • 20
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G. and M. Kubat. 1996. Learning in the presence of concept drift and hidden contexts. Machine Learning 23 (1):69-101.
    • (1996) Machine Learning , vol.23 , Issue.1 , pp. 69-101
    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.