메뉴 건너뛰기




Volumn 904, Issue , 1995, Pages 222-236

Approximation and learning of convex superpositions

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY;

EID: 84955611223     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-59119-2_180     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 3
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • A. Barton. Universal approximation bounds for superpositions of a sigmoidal function. IEEE Transactions on Information Theory, 39(3):930-945, May 1993.
    • (1993) IEEE Transactions on Information Theory , vol.39 , Issue.3 , pp. 930-945
    • Barton, A.1
  • 5
    • 0001160588 scopus 로고
    • What size net gives valide generalization ?
    • E.B. Bantu and D. Haussler. What size net gives valide generalization ? Neural Computation, 1:151-160, 1989.
    • (1989) Neural Computation , vol.1 , pp. 151-160
    • Bantu, E.B.1    Haussler, D.2
  • 6
    • 0024750852 scopus 로고
    • Hanssler, and M. Warmuth. Learnability and the Vapnik-Chervonenkis dimension
    • A. Blamer, A Ehrenfeucht, D. Hanssler, and M. Warmuth. Learnability and the Vapnik-Chervonenkis dimension. Journal of the A CM, 36(4):929-965, 1990.
    • (1990) Journal of the a CM , vol.36 , Issue.4 , pp. 929-965
    • Blamer, A.1    A Ehrenfeucht, D.2
  • 7
    • 84955580336 scopus 로고
    • Rates of convex approximations in non-l:Filbert spaces
    • 1251, Insitute for Mathematics and its applications, University of Minnesota, Minneapolis, Minnesota 55455
    • C. Darken, M. Donahue, L. Gurvits, and E. Sontag. Rates of convex approximations in non-l:filbert spaces. Technical Report. 1251, Insitute for Mathematics and its applications, University of Minnesota, Minneapolis, Minnesota 55455, September 1994.
    • (1994) Technical Report
    • Darken, C.1    Donahue, M.2    Gurvits, L.3    Sontag, E.4
  • 8
    • 0001605679 scopus 로고
    • Universal Donsker classes and metric entropy
    • R. M. Dudley. Universal Donsker classes and metric entropy. Annals of Probability, 15(4):1306-1326, 1987.
    • (1987) Annals of Probability , vol.15 , Issue.4 , pp. 1306-1326
    • Dudley, R.M.1
  • 9
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural nets and other learning applications
    • D. Haussler. Decision theoretic generalizations of the PAC model for neural nets and other learning applications. Information and Uomputation, (100):78-150, 1992.
    • (1992) Information and Uomputation , vol.100 , pp. 78-150
    • Haussler, D.1
  • 10
    • 0028460231 scopus 로고
    • Efficient distribution-freee learning of probabmstic concepts
    • M. Keaxns and R. Schapite. Efficient distribution-freee learning of probabmstic concepts. Journal of Computer and System Sciences, 48(3):464-497, 1994.
    • (1994) Journal of Computer and System Sciences , vol.48 , Issue.3 , pp. 464-497
    • Keaxns, M.1    Schapite, R.2
  • 11
    • 84963049054 scopus 로고
    • Vapnik-Chervonenkis classes of definable sets. 3. London
    • M. Laskowsld. Vapnik-Chervonenkis classes of definable sets. 3. London. Math. Soc., 45(2):377-384, 1992.
    • (1992) Math. Soc , vol.45 , Issue.2 , pp. 377-384
    • Laskowsld, M.1
  • 14
    • 0004206815 scopus 로고
    • Van Nostrand Mathematical Studies. D. Van Nostrand Company
    • R. Phelps. Lectures on Choquet's Theorem. Van Nostrand Mathematical Studies. D. Van Nostrand Company, 1966.
    • (1966) Lectures on Choquet's Theorem
    • Phelps, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.