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Volumn 2777, Issue , 2003, Pages 610-624

Learning random log-depth decision trees under the uniform distribution

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DECISION MAKING; HEURISTIC METHODS; POLYNOMIALS; PROBABILITY; STATISTICAL METHODS; THEOREM PROVING; TREES (MATHEMATICS); DATA MINING;

EID: 9444255068     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45167-9_44     Document Type: Conference Paper
Times cited : (8)

References (8)
  • 1
    • 0026877650 scopus 로고
    • Rank-r decision trees are a subclass of r-decision lists
    • A. Blum. Rank-r decision trees are a subclass of r-decision lists. Information Processing Letters, 42(4):183-185, 1992.
    • (1992) Information Processing Letters , vol.42 , Issue.4 , pp. 183-185
    • Blum, A.1
  • 4
    • 58149319164 scopus 로고
    • Exact learning boolean functions via the monotone theory
    • N. Bshouty. Exact learning boolean functions via the monotone theory. Information and Computation, 123(1):146-153, 1995.
    • (1995) Information and Computation , vol.123 , Issue.1 , pp. 146-153
    • Bshouty, N.1
  • 5
    • 0024735093 scopus 로고
    • Learning decision trees from random examples
    • A. Ehrenfeucht and D. Haussler. Learning decision trees from random examples. Information and Computation, 82(3):231-246, 1989.
    • (1989) Information and Computation , vol.82 , Issue.3 , pp. 231-246
    • Ehrenfeucht, A.1    Haussler, D.2
  • 7
    • 0027869083 scopus 로고
    • Learning decision trees using the Fourier spectrum
    • E. Kushilevitz and Y. Mansour. Learning decision trees using the Fourier spectrum. SIAM J. on Computing, 22(6):1331-1348, 1993.
    • (1993) SIAM J. on Computing , vol.22 , Issue.6 , pp. 1331-1348
    • Kushilevitz, E.1    Mansour, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.