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Volumn 11, Issue 4, 1999, Pages 995-1009

No free lunch for early stopping

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; NONLINEAR SYSTEM; PROBABILITY; REPRODUCIBILITY; STATISTICAL MODEL; TIME;

EID: 0033561978     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016557     Document Type: Article
Times cited : (68)

References (13)
  • 3
    • 0001927486 scopus 로고
    • Temporal evolution of generalization during learning in linear networks
    • Baldi, P., & Chauvin, Y. (1991). Temporal evolution of generalization during learning in linear networks. Neural Computation, 3, 589-603.
    • (1991) Neural Computation , vol.3 , pp. 589-603
    • Baldi, P.1    Chauvin, Y.2
  • 5
    • 0039136554 scopus 로고    scopus 로고
    • Geometry of early stopping in linear networks
    • D. S. Touretzky, M. C. Mozer, & M. E. Hasselmo (Eds.), Cambridge, MA: MIT Press
    • Dodier, R. (1996). Geometry of early stopping in linear networks. In D. S. Touretzky, M. C. Mozer, & M. E. Hasselmo (Eds.), Advances in neural information processing systems, 8 (pp. 365-371). Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 365-371
    • Dodier, R.1
  • 6
    • 0039136604 scopus 로고    scopus 로고
    • Note on free lunches and cross-validation
    • Goutte, C. (1997). Note on free lunches and cross-validation. Neural Computation, 9(6), 1053-1059.
    • (1997) Neural Computation , vol.9 , Issue.6 , pp. 1053-1059
    • Goutte, C.1
  • 7
  • 8
    • 0029489722 scopus 로고
    • Overtraining, regularization, and searching for a minimum, with application to neural networks
    • Sjoberg, J., & Ljung, L. (1995). Overtraining, regularization, and searching for a minimum, with application to neural networks. International Journal of Control, 62(6), 1391-1407.
    • (1995) International Journal of Control , vol.62 , Issue.6 , pp. 1391-1407
    • Sjoberg, J.1    Ljung, L.2
  • 9
    • 0000487861 scopus 로고
    • Optimal stopping and effective machine complexity in learning
    • J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kaufmann
    • Wang, C., Venkatesh, S. S., & Judd, J. S. (1994). Optimal stopping and effective machine complexity in learning. In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in mural information processing systems, 6 (pp. 303-310). San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in Mural Information Processing Systems , vol.6 , pp. 303-310
    • Wang, C.1    Venkatesh, S.S.2    Judd, J.S.3
  • 11
    • 0000459352 scopus 로고    scopus 로고
    • The existence of a priori distinctions between learning algorithms
    • Wolpert, D. H. (1996a). The existence of a priori distinctions between learning algorithms. Neural Computation, 8(7), 1391-1420.
    • (1996) Neural Computation , vol.8 , Issue.7 , pp. 1391-1420
    • Wolpert, D.H.1
  • 12
    • 0000459353 scopus 로고    scopus 로고
    • The lack of a priori distinctions between learning algorithms
    • Wolpert, D. H. (1996b). The lack of a priori distinctions between learning algorithms. Neural Computation, 8(7), 1341-1390.
    • (1996) Neural Computation , vol.8 , Issue.7 , pp. 1341-1390
    • Wolpert, D.H.1
  • 13
    • 0037545145 scopus 로고    scopus 로고
    • No free lunch for cross-validation
    • Zhu, H., & Rohwer, R. (1996). No free lunch for cross-validation. Neural Computation, 8(7), 1421-1426.
    • (1996) Neural Computation , vol.8 , Issue.7 , pp. 1421-1426
    • Zhu, H.1    Rohwer, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.