메뉴 건너뛰기




Volumn 11, Issue 1-5, 1997, Pages 193-225

The Racing Algorithm: Model Selection for Lazy Learners

Author keywords

Attribute selection; Cross validation; Lazy learning; Model selection; Optimization

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; LEARNING SYSTEMS; OPTIMIZATION;

EID: 0031069121     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/978-94-017-2053-3_8     Document Type: Article
Times cited : (188)

References (38)
  • 4
    • 0000876414 scopus 로고
    • Local Learning Algorithms
    • Bottou, L. & Vapnik, V. (1992). Local Learning Algorithms. Neural Computation 4: 888-900.
    • (1992) Neural Computation , vol.4 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 7
    • 45549110576 scopus 로고
    • Regression by local fitting: Methods, properties, and computational algorithms
    • Cleveland, W. S., Devlin, S. J. & Grosse, E. (1988). Regression by local fitting: Methods, properties, and computational algorithms. Journal of Econometrics 37: 87-114.
    • (1988) Journal of Econometrics , vol.37 , pp. 87-114
    • Cleveland, W.S.1    Devlin, S.J.2    Grosse, E.3
  • 10
    • 0026311694 scopus 로고
    • Statistical Data Analysis in the Computer Age
    • Efron, B. & Tibshirani, R. (1991). Statistical Data Analysis in the Computer Age. Science 253: 390-395.
    • (1991) Science , vol.253 , pp. 390-395
    • Efron, B.1    Tibshirani, R.2
  • 14
    • 2342506981 scopus 로고
    • Department of Computer Science Technical Report Num. 1893, University of Illinois at Urbana-Champaign
    • Gratch, J. (1994). An effective method for correlated selection problems. Department of Computer Science Technical Report Num. 1893, University of Illinois at Urbana-Champaign.
    • (1994) An Effective Method for Correlated Selection Problems
    • Gratch, J.1
  • 17
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the pac model for neural net and other learning applications
    • Haussler, D. (1992). Decision theoretic generalizations of the pac model for neural net and other learning applications. Information and Computation 100: 78-150.
    • (1992) Information and Computation , vol.100 , pp. 78-150
    • Haussler, D.1
  • 18
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • Hoeffding, W. (1963). Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association 58: 13-30.
    • (1963) Journal of the American Statistical Association , vol.58 , pp. 13-30
    • Hoeffding, W.1
  • 20
    • 0004280606 scopus 로고
    • PhD. Thesis; Technical Report No. TR-90-04, Stanford University, Department of Computer Science
    • Kaelbling, L. P. (1990). Learning in Embedded Systems. PhD. Thesis; Technical Report No. TR-90-04, Stanford University, Department of Computer Science.
    • (1990) Learning in Embedded Systems
    • Kaelbling, L.P.1
  • 22
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • Lowe, D. G. (1995). Similarity metric learning for a variable-kernel classifier. Neural Computation 7: 72-85.
    • (1995) Neural Computation , vol.7 , pp. 72-85
    • Lowe, D.G.1
  • 23
    • 0001923944 scopus 로고
    • Hoeffding Races: Accelerating model selection search for classification and function approximation
    • Cowan, J. D., Tesauro, G. & Alspector, J. (eds.), Morgan Kaufmann
    • Maron, O. & Moore, A. W. (1994). Hoeffding Races: Accelerating model selection search for classification and function approximation. In Cowan, J. D., Tesauro, G. & Alspector, J. (eds.), Advances in Neural Information Processing Systems 6. Morgan Kaufmann.
    • (1994) Advances in Neural Information Processing Systems , vol.6
    • Maron, O.1    Moore, A.W.2
  • 27
    • 2342512684 scopus 로고
    • An empirical investigation of brute force to choose features, smoothers and function approximators
    • Hanson, S., Judd, S. & Petsche, T. (eds.), MIT Press
    • Moore, A. W., Hill, D. J. & Johnson, M. P. (1992). An empirical investigation of brute force to choose features, smoothers and function approximators. In Hanson, S., Judd, S. & Petsche, T. (eds.), Computational Learning Theory and Natural Learning Systems, Volume 3. MIT Press.
    • (1992) Computational Learning Theory and Natural Learning Systems, Volume 3 , vol.3
    • Moore, A.W.1    Hill, D.J.2    Johnson, M.P.3
  • 28
    • 0003971885 scopus 로고
    • Fast, robust adaptive control by learning only forward models
    • Moody, J. E., Hanson, S. J. & Lippman, R. P. (eds.), Morgan Kaufmann
    • Moore, A. W. (1992). Fast, robust adaptive control by learning only forward models. In Moody, J. E., Hanson, S. J. & Lippman, R. P. (eds.), Advances in Neural Information Processing Systems 4. Morgan Kaufmann.
    • (1992) Advances in Neural Information Processing Systems , vol.4
    • Moore, A.W.1
  • 30
    • 2342649329 scopus 로고
    • Private communication
    • Omohundro, S. (1993). Private communication.
    • (1993)
    • Omohundro, S.1
  • 32
    • 2342591847 scopus 로고
    • Simulation Results for a new two-armed bandit heuristic
    • Laboratory for Computer Science, M.I.T.
    • Rivest, R. L. & Yin, Y. (1993). Simulation Results for a new two-armed bandit heuristic. Technical report, Laboratory for Computer Science, M.I.T.
    • (1993) Technical Report
    • Rivest, R.L.1    Yin, Y.2
  • 35
    • 0012657799 scopus 로고
    • Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
    • Morgan Kaufmann
    • Skalak, D. B. (1994). Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms. In Machine Learning: Proceedings of the Eleventh International Conference, pp. 293-301. Morgan Kaufmann.
    • (1994) Machine Learning: Proceedings of the Eleventh International Conference , pp. 293-301
    • Skalak, D.B.1
  • 37
    • 0000576729 scopus 로고
    • The significance of the difference between two means when the population variances are unequal
    • Welch, B. L. (1937). The significance of the difference between two means when the population variances are unequal. Biometrika 29.
    • (1937) Biometrika , vol.29
    • Welch, B.L.1
  • 38
    • 0026771388 scopus 로고
    • Hybrid system for protein secondary structure prediction
    • Zhang, X, Mesirov, J. P. & Waltz, D. L. (1992). Hybrid system for protein secondary structure prediction. Journal of Molecular Biology 225: 1049-1063.
    • (1992) Journal of Molecular Biology , vol.225 , pp. 1049-1063
    • Zhang, X.1    Mesirov, J.P.2    Waltz, D.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.