메뉴 건너뛰기




Volumn 11, Issue 3, 1999, Pages 783-802

Discriminant component pruning: Regularization and interpretation of multilayered backpropagation networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; APTITUDE; ARTIFICIAL NEURAL NETWORK; DISCRIMINANT ANALYSIS; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS;

EID: 0033114133     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016665     Document Type: Article
Times cited : (8)

References (19)
  • 1
    • 0001497505 scopus 로고
    • Estimating linear restrictions on regression coefficients for multivariate normal distributions
    • Anderson, T. (1951). Estimating linear restrictions on regression coefficients for multivariate normal distributions. Annals of Mathematical Statistics, 22, 327-351.
    • (1951) Annals of Mathematical Statistics , vol.22 , pp. 327-351
    • Anderson, T.1
  • 2
    • 0000764772 scopus 로고
    • The use of multiple measurements in axonomic problems
    • Fisher, R. (1936). The use of multiple measurements in axonomic problems. Annals of Eugenics, 7, 179-188.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.1
  • 3
    • 0009470051 scopus 로고
    • Developments in principal component analysis
    • W. J. Krzanowski (Ed.), Oxford: Oxford Science Publications
    • Flury, B. (1995). Developments in principal component analysis. In W. J. Krzanowski (Ed.), Recent advances in descriptive multivariate analysis, pp. 14-33. Oxford: Oxford Science Publications.
    • (1995) Recent Advances in Descriptive Multivariate Analysis , pp. 14-33
    • Flury, B.1
  • 4
    • 0000991092 scopus 로고
    • Comparing biases for minimal network construction with back-propagation
    • D. Touretzky (Ed.), San Mateo, CA: Morgan Kauffman
    • Hanson, S., & Pratt, L. (1989). Comparing biases for minimal network construction with back-propagation. In D. Touretzky (Ed.), Advances in neural information processing, 1 (pp. 177-185). San Mateo, CA: Morgan Kauffman.
    • (1989) Advances in Neural Information Processing , vol.1 , pp. 177-185
    • Hanson, S.1    Pratt, L.2
  • 7
    • 85034140889 scopus 로고    scopus 로고
    • Unpublished master's thesis, Department of Electrical Engineering, Delft University of Technology, Delft, Netherlands
    • Koene, R. Extracting knowledge in terms of rules from trained neural networks. Unpublished master's thesis, Department of Electrical Engineering, Delft University of Technology, Delft, Netherlands.
    • Extracting Knowledge in Terms of Rules from Trained Neural Networks
    • Koene, R.1
  • 10
    • 0001860703 scopus 로고
    • Fast pruning using principal components
    • J. D. Cowan, G. Tessauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kauffman
    • Levin, A., Leen, T., & Moody, J. (1994). Fast pruning using principal components. In J. D. Cowan, G. Tessauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 35-42). San Mateo, CA: Morgan Kauffman.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 35-42
    • Levin, A.1    Leen, T.2    Moody, J.3
  • 13
    • 0000900876 scopus 로고
    • Skeletonization: A technique for trimming the fat from a network via relevance assessment
    • D. Touretzky (Ed.), San Mateo, CA: Morgan Kauffman
    • Mozer, M., & Smolensky, P. (1989). Skeletonization: A technique for trimming the fat from a network via relevance assessment. In D. Touretzky (Ed.), Advances in neural information processing systems, 1 (pp. 107-115). San Mateo, CA: Morgan Kauffman.
    • (1989) Advances in Neural Information Processing Systems , vol.1 , pp. 107-115
    • Mozer, M.1    Smolensky, P.2
  • 17
    • 0002949417 scopus 로고
    • Principal component analysis with external information on both subjects and variables
    • Takane, Y., & Shibayama, T. (1991). Principal component analysis with external information on both subjects and variables. Psychometrika, 56, 97-120.
    • (1991) Psychometrika , vol.56 , pp. 97-120
    • Takane, Y.1    Shibayama, T.2
  • 18
    • 85158010005 scopus 로고
    • Refinement of approximate domain theories by knowledge-based neural networks
    • Towell, G., Shavlik, J., & Noordewier, M. (1990). Refinement of approximate domain theories by knowledge-based neural networks. AAAI90, 861-866.
    • (1990) AAAI90 , pp. 861-866
    • Towell, G.1    Shavlik, J.2    Noordewier, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.