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Volumn 1082, Issue , 2008, Pages 37-43

Astronomical applications of oblique decision trees

Author keywords

Classification; Decision trees; Quasars; Radio sources; Surveys; X ray sources

Indexed keywords


EID: 61849171618     PISSN: 0094243X     EISSN: 15517616     Source Type: Conference Proceeding    
DOI: 10.1063/1.3059078     Document Type: Conference Paper
Times cited : (8)

References (19)
  • 2
    • 0039714920 scopus 로고    scopus 로고
    • Object Classification in Astronomical Images
    • edited by G. J. Babu, and E. D. Feigelson, Springer, New York
    • R. L. White, "Object Classification in Astronomical Images," in Statistical Challenges in Modern Astronomy II, edited by G. J. Babu, and E. D. Feigelson, Springer, New York, 1997, p. 135.
    • (1997) Statistical Challenges in Modern Astronomy II , pp. 135
    • White, R.L.1
  • 7
    • 0038802109 scopus 로고    scopus 로고
    • Object Classification as a Data Analaysis Tool
    • edited by N. Manset, C. Veillet, and D. Crabtree, ASP, San Francisco
    • R. L. White, "Object Classification as a Data Analaysis Tool," in Astronomical Data Analysts Software and Systems IX, edited by N. Manset, C. Veillet, and D. Crabtree, ASP, San Francisco, 2000, p. 577.
    • (2000) Astronomical Data Analysts Software and Systems IX , pp. 577
    • White, R.L.1
  • 12
    • 11144310622 scopus 로고    scopus 로고
    • Canaries in the Data Mine: Improving Trained Classifiers
    • edited by E. D. Feigelson, and G. J. Babu, Springer, New York
    • V. G. Laidler, and R. L. White, "Canaries in the Data Mine: Improving Trained Classifiers," in Statistical Challenges In Modern Astronomy III, edited by E. D. Feigelson, and G. J. Babu, Springer, New York, 2003, p. 453.
    • (2003) Statistical Challenges In Modern Astronomy III , pp. 453
    • Laidler, V.G.1    White, R.L.2
  • 18
    • 26944467334 scopus 로고    scopus 로고
    • A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
    • edited by P. Langley
    • P. Komarek, and A. Moore, "A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets," in Proceedings of the 17th International Conference on Machine Learning, edited by P. Langley, 2000, pp. 495-502.
    • (2000) Proceedings of the 17th International Conference on Machine Learning , pp. 495-502
    • Komarek, P.1    Moore, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.