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Volumn 1910, Issue , 2000, Pages 299-308

Learning first order logic time series classifiers: Rules and boosting *

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; DATA MINING; FORMAL LOGIC; TIME SERIES;

EID: 84974705046     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_29     Document Type: Conference Paper
Times cited : (24)

References (19)
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    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning, 36(1/2), 1999.
    • (1999) Machine Learning , vol.36 , Issue.1
    • Bauer, E.1    Kohavi, R.2
  • 6
    • 0002076016 scopus 로고    scopus 로고
    • Finding patterns in time series: A dynamic programming approach
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors,, AAAI Press / MIT Press
    • D.J. Berndt and J. Clifford. Finding patterns in time series: a dynamic programming approach. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining. AAAI Press / MIT Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Berndt, D.J.1    Clifford, J.2
  • 11
    • 0001823341 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Machine Learning, 1999.
    • (1999) Machine Learning
    • Dietterich, T.G.1
  • 13
    • 44049109219 scopus 로고    scopus 로고
    • Learning to classify biomedical signals
    • R.S. Michalski, I. Bratko, and M. Kubat, editors,, John Wiley & Sons
    • M. Kubat, I. Koprinska, and G. Pfurtscheller. Learning to classify biomedical signals. In R.S. Michalski, I. Bratko, and M. Kubat, editors, Machine Learning and Data Mining. John Wiley & Sons, 1998.
    • (1998) Machine Learning and Data Mining
    • Kubat, M.1    Koprinska, I.2    Pfurtscheller, G.3
  • 14
    • 0001868096 scopus 로고
    • Induction of first-order decision lists: Results on learning the past tense of english verbs
    • R.J. Mooney and M.E. Califf. Induction of first-order decision lists: results on learning the past tense of english verbs. JAIR, 3, 1995.
    • (1995) JAIR , vol.3
    • Mooney, R.J.1    Califf, M.E.2
  • 18
    • 0032687672 scopus 로고    scopus 로고
    • Numerical reasoning with an ILP system capable of lazy evaluation and customized search
    • A. Srinivasan and R.C. Camacho. Numerical reasoning with an ILP system capable of lazy evaluation and customized search. Journal of Logic Programming, 40(2-3), 1999.
    • (1999) Journal of Logic Programming , vol.40 , Issue.2-3
    • Srinivasan, A.1    Camacho, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.