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Volumn 2871, Issue , 2003, Pages 49-56

Comparing simplification methods for model trees with regression and splitting nodes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; PROBLEM SOLVING; INTELLIGENT SYSTEMS;

EID: 7444225884     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (15)
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    • Simplification Methods for Model Trees with Regression and Splitting Nodes
    • P. Perner, & A. Rosenfeld (Eds.), Machine Learning and Data Mining in Pattern Recognition, Springer, Berlin in press
    • Ceci, M., Appice, A. & Malerba D.: Simplification Methods for Model Trees with Regression and Splitting Nodes. In P. Perner, & A. Rosenfeld (Eds.), Machine Learning and Data Mining in Pattern Recognition, Lectures Notes in Artificial Intelligence, 2734, Springer, Berlin (2003), in press.
    • (2003) Lectures Notes in Artificial Intelligence , vol.2734
    • Ceci, M.1    Appice, A.2    Malerba, D.3
  • 3
    • 85101445097 scopus 로고    scopus 로고
    • Draper N.R. and Smith H.: Applied regression analysis, John Wiley & Sons, (1982).
  • 5
    • 84911008514 scopus 로고    scopus 로고
    • Karalic A.: Linear regression in regression tree leaves, in Proceedings of ISSEK '92 (International School for Synthesis of Expert Knowledge), Bled, Slovenia, (1992).
  • 6
    • 3042678862 scopus 로고    scopus 로고
    • Tree Structured Interpretable Regression, in Learning from Data
    • Fisher D. & Lenz H.J. (Eds.) Springer
    • Lubinsky D.: Tree Structured Interpretable Regression, in Learning from Data, Fisher D. & Lenz H.J. (Eds.), Lecture Notes in Statistics, 112, Springer, (1996), 387-398.
    • (1996) Lecture Notes in Statistics , vol.112 , pp. 387-398
    • Lubinsky, D.1
  • 7
    • 84884631438 scopus 로고    scopus 로고
    • Trading-off Local versus Global Effects of Regression Nodes in Model Trees
    • H.-S. Hacid, Z.W. Ras, D.A. Zighed, Y. Kodratoff (Eds), Proceedings of the 13th International Symposium, ISMIS'2002 Springer, Berlino, Germania
    • Malerba D., Appice A., Ceci M., Monopoli M. : Trading-off Local versus Global Effects of Regression Nodes in Model Trees. In H.-S. Hacid, Z.W. Ras, D.A. Zighed, Y. Kodratoff (Eds), Proceedings of the 13th International Symposium, ISMIS'2002, Lecture Notes in Artificial Intelligence, 2366, Springer, Berlino, Germania, (2002), 393-402.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2366 , pp. 393-402
    • Malerba, D.1    Appice, A.2    Ceci, M.3    Monopoli, M.4
  • 8
    • 0005801045 scopus 로고
    • Learning decision rules in noisy domains
    • Bramer, M. A., Cambridge University Press, Cambridge
    • Niblett, T. & Bratko I.: Learning decision rules in noisy domains. In Bramer, M. A., Research and Development in Expert Systems III, Cambridge University Press, Cambridge, (1986), 25-34.
    • (1986) Research and Development in Expert Systems III , pp. 25-34
    • Niblett, T.1    Bratko, I.2
  • 10
    • 0001495905 scopus 로고
    • Learning with continuous classes
    • Adams & Sterling (Eds.), World Scientific
    • Quinlan J.R.: Learning with continuous classes, in Proceedings AI'92, Adams & Sterling (Eds.), World Scientific, (1992), 343-348.
    • (1992) Proceedings AI'92 , pp. 343-348
    • Quinlan, J.R.1
  • 12
    • 84911008226 scopus 로고    scopus 로고
    • Torgo L.: Functional Models for Regression Tree Leaves, in Proceedings of the Fourteenth International Conference (ICML '97), D. Fisher (Ed.), Nashville, Tennessee, (1997).
  • 13
    • 84911008257 scopus 로고    scopus 로고
    • Torgo L.: Inductive Learning of Tree-based Regression Models, Ph.D. Thesis, Department of Computer Science, Faculty of Sciences, University of Porto. (1999).
  • 14
    • 0001717058 scopus 로고    scopus 로고
    • Inducing Model Trees for Continuous Classes, in Poster Papers of the M. van Someren, & G. Widmer (Eds.), Prague, Czech Republic
    • Wang Y. & Witten I.H.: Inducing Model Trees for Continuous Classes, in Poster Papers of the 9th European Conference on Machine Learning (ECML 97), M. van Someren, & G. Widmer (Eds.), Prague, Czech Republic, (1997), 128-137.
    • (1997) 9th European Conference on Machine Learning (ECML 97) , pp. 128-137
    • Wang, Y.1    Witten, I.H.2
  • 15
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    • Weisberg S.: Applied regression analysis, 2nd edn. New York: Wiley, (1985).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.