메뉴 건너뛰기




Volumn 13, Issue 4, 2000, Pages 207-214

Regression on feature projections

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; KNOWLEDGE BASED SYSTEMS; REGRESSION ANALYSIS;

EID: 0034206024     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-7051(00)00060-5     Document Type: Article
Times cited : (19)

References (26)
  • 2
    • 85120120355 scopus 로고    scopus 로고
    • G.C. Atkenson, A.W. Moore, S. Schaal, Locally weighted learning [http://funapp.cs.bilkent.edu.tr], 1996.
  • 3
    • 85120114931 scopus 로고    scopus 로고
    • C. Blake, E. Keogh, C.J. Merz, UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html] Irvine, CA, University of California, Department of Information and Computer Science, 1998
  • 7
    • 85120147114 scopus 로고
    • R. Duda P.E. Hart Pattern Classification and Scene Analysis 1973 Wiley New York
    • (1973)
    • Duda, R.1    Hart, P.E.2
  • 8
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • J.H. Friedman Multivariate adaptive regression splines The Annals of Statistics 19 1 1991 1 141
    • (1991) The Annals of Statistics , vol.19 , Issue.1 , pp. 1-141
    • Friedman, J.H.1
  • 10
    • 85120120845 scopus 로고    scopus 로고
    • J.H. Friedman, Local learning based on recursive covering, Department of Statistics, Stanford University [ftp://stat.stanford.edu/pub/friedman/dart.ps.Z], 1996.
  • 11
    • 85120126589 scopus 로고    scopus 로고
    • H.A. Guvenir, Bilkent FunApp repository [http://funapp.cs.bilkent.edu.tr], Bilkent University, Department of Computer Engineering, Ankara, 2000.
  • 12
    • 0031380978 scopus 로고    scopus 로고
    • Knowing what doesn't matter: exploiting the omission of irrelevant data
    • R. Greiner A.J. Grove A. Kogan Knowing what doesn't matter: exploiting the omission of irrelevant data Artificial Intelligence 97 1997 345 380
    • (1997) Artificial Intelligence , vol.97 , pp. 345-380
    • Greiner, R.1    Grove, A.J.2    Kogan, A.3
  • 13
    • 0030130153 scopus 로고    scopus 로고
    • Classification by feature partitioning
    • H.A. Guvenir İ. Sirin Classification by feature partitioning Machine Learning 23 1996 47 67
    • (1996) Machine Learning , vol.23 , pp. 47-67
    • Guvenir, H.A.1    Sirin, İ.2
  • 14
    • 0032127185 scopus 로고    scopus 로고
    • Learning differential diagnosis of erythemato squamous diseases using voting feature intervals
    • H.A. Guvenir G. Demiroz N. Ilter Learning differential diagnosis of erythemato squamous diseases using voting feature intervals Artificial Intelligence in Medicine 13 1998 147 165
    • (1998) Artificial Intelligence in Medicine , vol.13 , pp. 147-165
    • Guvenir, H.A.1    Demiroz, G.2    Ilter, N.3
  • 15
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • R.C. Holte Very simple classification rules perform well on most commonly used datasets Machine Learning 11 1993 63 91
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 16
    • 0002714595 scopus 로고
    • Employing linear regression in regression tree leaves
    • A. Karalic Employing linear regression in regression tree leaves B. Newmann Proceedings of ECAI’92 Vienna, Austria 1992 440 441
    • (1992) , pp. 440-441
    • Karalic, A.1
  • 17
    • 85120136316 scopus 로고
    • L. Kaufman P.J. Rousseeuw Finding Groups in Data—An Introduction to Cluster Analysis Wiley Series in Probability and Mathematical Statistics 1990
    • (1990)
    • Kaufman, L.1    Rousseeuw, P.J.2
  • 19
    • 85120118210 scopus 로고
    • J.H. Mathews Numerical Methods for Computer Science, Engineering and Mathematics 1987 Prentice-Hall Englewood Cliffs, NJ
    • (1987)
    • Mathews, J.H.1
  • 20
    • 85120133981 scopus 로고    scopus 로고
    • T.M. Mitchell Machine Learning 1997 McGraw Hill New York
    • (1997)
    • Mitchell, T.M.1
  • 21
    • 85120143220 scopus 로고    scopus 로고
    • J.R. Quinlan, Learning with continuous classes, in: Adams and Sterling (Eds.), Proceedings, AI’92, 1992, pp. 343–348.
  • 22
    • 85120108346 scopus 로고
    • J. Rawlings Applied Regression Analysis, A Research Tool 1988 Wadsworth Belmont, CA
    • (1988)
    • Rawlings, J.1
  • 23
    • 85120103717 scopus 로고    scopus 로고
    • SPSS Sample Data Sets [ftp://ftp.spss.com/pub/spss/sample/datasets/], 1999.
  • 24
    • 0040452732 scopus 로고
    • Optimized rule induction
    • S. Weiss N. Indurkhya Optimized rule induction IEEE Expert 8 6 1993 61 69
    • (1993) IEEE Expert , vol.8 , Issue.6 , pp. 61-69
    • Weiss, S.1    Indurkhya, N.2
  • 26
    • 85120113730 scopus 로고    scopus 로고
    • S. Weiss N. Indurkhya Predictive Data Mining: A Practical Guide 1998 Morgan Kaufmann San Francisco
    • (1998)
    • Weiss, S.1    Indurkhya, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.