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Volumn 3789 LNAI, Issue , 2005, Pages 443-453

On-line learning of decision trees in problems with unknown dynamics

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; ONLINE SYSTEMS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); TREES (MATHEMATICS);

EID: 33646810848     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11579427_45     Document Type: Conference Paper
Times cited : (6)

References (15)
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    • IEEE Press
    • Kolter, J. and Maloof, M.: Dynamic Weighted Majority: A new ensemble method for tracking concept drift, in Proceedings of 3rd IEEE ICDM, IEEE Press, (2003), 123-130
    • (2003) Proceedings of 3rd IEEE ICDM , pp. 123-130
    • Kolter, J.1    Maloof, M.2
  • 3
    • 38249013971 scopus 로고
    • Favorit: Concept formation with ageing of knowledge
    • Krikazova, I., & Kubat, M.: Favorit: Concept Formation with Ageing of Knowledge, Pattern Recognition Letters, 13, (1993), 19-25
    • (1993) Pattern Recognition Letters , vol.13 , pp. 19-25
    • Krikazova, I.1    Kubat, M.2
  • 4
    • 0034299906 scopus 로고    scopus 로고
    • Selecting examples for partial memory learning
    • Maloof, M. & Michalski, R.: Selecting Examples for Partial Memory Learning, Machine Learning, 41, (2000), 27-42
    • (2000) Machine Learning , vol.41 , pp. 27-42
    • Maloof, M.1    Michalski, R.2
  • 5
    • 84884637057 scopus 로고    scopus 로고
    • Incremental learning with partial instance memory
    • Foundations of intelligent systems, Springer-Verlag
    • Maloof, M. & Michalski, R.: Incremental learning with partial instance memory. Foundations of intelligent systems, LNAI, Vol. 2366, Springer-Verlag, (2002), 16-27
    • (2002) LNAI , vol.2366 , pp. 16-27
    • Maloof, M.1    Michalski, R.2
  • 6
    • 0006831626 scopus 로고
    • TCP specification
    • ARPANET Working Group Requests for Comment, DDN Network Information Center, SRI Int., Postel, P. editor. Menlo Park, CA, September
    • RFC-793. TCP Specification. ARPANET Working Group Requests for Comment, DDN Network Information Center, SRI Int., Postel, P. editor. Menlo Park, CA, September 1981.
    • (1981) RFC-793
  • 7
    • 0003273441 scopus 로고    scopus 로고
    • Computing TCP's transmission timer
    • Network Working Group Requests for Comment, Paxon, V. and Allman, M. editors, November
    • RFC-2988. Computing TCP's transmission timer. Network Working Group Requests for Comment, Paxon, V. and Allman, M. editors, November 2000.
    • (2000) RFC-2988
  • 8
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R.: Induction of Decision Trees, Machine Learning, 1, (1986), 81-106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 10
    • 0010012318 scopus 로고
    • Incremental learning from noisy data
    • Schlimmer, J. & Granger, R.: Incremental Learning from Noisy Data, Machine Learning, 1, (1986), 317-354
    • (1986) Machine Learning , vol.1 , pp. 317-354
    • Schlimmer, J.1    Granger, R.2
  • 12
    • 0031246271 scopus 로고    scopus 로고
    • Decision tree induction based on efficient tree restructuring
    • Utgoff P., Berkman N. & Clouse J.: Decision Tree Induction Based on Efficient Tree Restructuring, Machine Learning 29(1), (1997), 5-44
    • (1997) Machine Learning , vol.29 , Issue.1 , pp. 5-44
    • Utgoff, P.1    Berkman, N.2    Clouse, J.3
  • 13
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G., & Kubat, M. Learning in the Presence of Concept Drift and Hidden Contexts, Machine Learning, vol. 23, (1996), 69-101
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1    Kubat, M.2
  • 14
    • 0000599779 scopus 로고
    • Hypothesis-driven constructive induction in AQ17: A method and experiments
    • Wnek, J. & Michalski, R. S. Hypothesis-Driven Constructive Induction in AQ17: A Method and Experiments, Machine Learning, 14, (1994), 139-169
    • (1994) Machine Learning , vol.14 , pp. 139-169
    • Wnek, J.1    Michalski, R.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.