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Volumn , Issue , 2009, Pages 1428-1432

A study of the effect of noise injection on the training of artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BAYESIAN; EARLY STOPPING; NOISE INJECTION; SIMULATION STUDIES; TRAINING PROCESS; WEIGHT DECAY;

EID: 70449408530     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178981     Document Type: Conference Paper
Times cited : (35)

References (20)
  • 1
    • 0025080985 scopus 로고
    • Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis
    • Oct
    • H. P. Chan, K. Doi, C. J. Vyborny, R. A. Schmidt, C. E. Metz, K. L. Lam, T. Ogura, Y. Z. Wu, and H. MacMahon, "Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis, " Invest Radiol, vol. 25, pp. 1102-10, Oct. 1990.
    • (1990) Invest Radiol , vol.25 , pp. 1102-1110
    • Chan, H.P.1    Doi, K.2    Vyborny, C.J.3    Schmidt, R.A.4    Metz, C.E.5    Lam, K.L.6    Ogura, T.7    Wu, Y.Z.8    MacMahon, H.9
  • 2
    • 0034860859 scopus 로고    scopus 로고
    • Screening mammography with computer-aided detection: Prospective study of 12, 860 patients in a community breast center
    • Sep
    • T. W. Freer and M. J. Ulissey, "Screening mammography with computer-aided detection: prospective study of 12, 860 patients in a community breast center, " Radiology, vol. 220, pp. 781-6, Sep. 2001.
    • (2001) Radiology , vol.220 , pp. 781-786
    • Freer, T.W.1    Ulissey, M.J.2
  • 8
    • 85120186776 scopus 로고    scopus 로고
    • R. M. Zur, Y. Jiang, and C. E. Metz, Comparison of two methods of adding jitter to artificial neural network training, Proc. of CARS, pp. 886-889, 2004.
    • R. M. Zur, Y. Jiang, and C. E. Metz, "Comparison of two methods of adding jitter to artificial neural network training, " Proc. of CARS, pp. 886-889, 2004.
  • 9
    • 51749097121 scopus 로고    scopus 로고
    • Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers
    • B. Sahiner, H. P. Chan, and L. Hadjiiski, "Classifier performance estimation under the constraint of a finite sample size: resampling schemes applied to neural network classifiers, " Proc. of IJNN, pp. 1762-1766, 2007.
    • (2007) Proc. of IJNN , pp. 1762-1766
    • Sahiner, B.1    Chan, H.P.2    Hadjiiski, L.3
  • 10
    • 27644512013 scopus 로고    scopus 로고
    • Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters,
    • W. A. Yousef, R. F. Wagner, and M. H. Loew, "Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters, " Proc. of the 33rd AIPR Workshop, pp. 190-195, 2004.
    • (2004) Proc. of the 33rd AIPR Workshop , pp. 190-195
    • Yousef, W.A.1    Wagner, R.F.2    Loew, M.H.3
  • 11
    • 34250162528 scopus 로고    scopus 로고
    • Assessment of medical imaging systems and computer aids: A tutorial review
    • Jun
    • R. F. Wagner, C. E. Metz, and G. Campbell, "Assessment of medical imaging systems and computer aids: a tutorial review, " Acad Radiol, vol. 14, pp. 723-48, Jun. 2007.
    • (2007) Acad Radiol , vol.14 , pp. 723-748
    • Wagner, R.F.1    Metz, C.E.2    Campbell, G.3
  • 12
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • J. A. Hanley and B. J. McNeil, "The meaning and use of the area under a receiver operating characteristic (ROC) curve, " Radiology, vol. 143, pp. 29-36, 1982.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 13
    • 0032525017 scopus 로고    scopus 로고
    • Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data
    • May 15
    • C. E. Metz, B. A. Herman, and J. H. Shen, "Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data, " Stat Med, vol. 17, pp. 1033-53, May 15 1998.
    • (1998) Stat Med , vol.17 , pp. 1033-1053
    • Metz, C.E.1    Herman, B.A.2    Shen, J.H.3
  • 14
    • 0002822137 scopus 로고    scopus 로고
    • Proper binormal ROC curves: Theory and maximum-likelihood estimation
    • Mar
    • C. E. Metz and X. Pan, ""Proper" binormal ROC curves: theory and maximum-likelihood estimation, " J Math Psychol, vol. 43, pp. 1-33, Mar. 1999.
    • (1999) J Math Psychol , vol.43 , pp. 1-33
    • Metz, C.E.1    Pan, X.2
  • 15
    • 49049083896 scopus 로고    scopus 로고
    • Breast US computer-aided diagnosis workstation: Performance with a large clinical diagnostic population
    • Aug
    • K. Drukker, N. P. Gruszauskas, C. A. Sennett, and M. L. Giger, "Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population, " Radiology, vol. 248, pp. 392-7, Aug. 2008.
    • (2008) Radiology , vol.248 , pp. 392-397
    • Drukker, K.1    Gruszauskas, N.P.2    Sennett, C.A.3    Giger, M.L.4
  • 16
    • 0034244839 scopus 로고    scopus 로고
    • Neural network modelling with input uncertainty: Theory and application
    • AUG
    • W. A. Wright, G. Ramage, D. Cornford, and I. Nabney, "Neural network modelling with input uncertainty: Theory and application, " J. VLSI Sig. Proc. Syst., vol. 26, pp. 169-188, AUG 2000.
    • (2000) J. VLSI Sig. Proc. Syst , vol.26 , pp. 169-188
    • Wright, W.A.1    Ramage, G.2    Cornford, D.3    Nabney, I.4
  • 17
    • 0026017007 scopus 로고
    • Creating artificial neural networks that generalize
    • J. Sietsma and R. J. F. Dow, "Creating artificial neural networks that generalize, " Neural Net., vol. 4, pp. 67-79, 1991.
    • (1991) Neural Net , vol.4 , pp. 67-79
    • Sietsma, J.1    Dow, R.J.F.2
  • 18
    • 0026858102 scopus 로고
    • Noise injection into inputs in backpropagation learning
    • MAY-JUN
    • K. Matsuoka, "Noise injection into inputs in backpropagation learning, " IEEE Trans. Sys., Man and Cyb., vol. 22, pp. 436-440, MAY-JUN 1992.
    • (1992) IEEE Trans. Sys., Man and Cyb , vol.22 , pp. 436-440
    • Matsuoka, K.1
  • 19
    • 0026624071 scopus 로고
    • Using additive noise in back-propagation training
    • JAN
    • L. Holmstrom and P. Koistinen, "Using additive noise in back-propagation training, " IEEE Trans. Neural Net., vol. 3, pp. 24-38, JAN 1992.
    • (1992) IEEE Trans. Neural Net , vol.3 , pp. 24-38
    • Holmstrom, L.1    Koistinen, P.2
  • 20
    • 2342565172 scopus 로고    scopus 로고
    • The effects of adding noise during backpropagation training on a generalization performance
    • APR 1
    • G. Z. An, "The effects of adding noise during backpropagation training on a generalization performance, " Neural Comput., vol. 8, pp. 643-674, APR 1 1996.
    • (1996) Neural Comput , vol.8 , pp. 643-674
    • An, G.Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.