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Volumn 226, Issue , 2008, Pages 151-163

Evolutionary regression and neural imputations of missing values

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EID: 39449119737     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-77465-5_8     Document Type: Article
Times cited : (11)

References (38)
  • 1
    • 0004093524 scopus 로고    scopus 로고
    • Sage Publications, Thousand Oaks
    • Allison, P.D.: Missing data. Sage Publications, Thousand Oaks (2001)
    • (2001) Missing data
    • Allison, P.D.1
  • 3
    • 0000236114 scopus 로고
    • Least Squares Estimation of Missing Values in Time Series
    • Beveridge, S.: Least Squares Estimation of Missing Values in Time Series. Communications in Statistics: Theory and Methods 21(12), 3479-3496 (1992)
    • (1992) Communications in Statistics: Theory and Methods , vol.21 , Issue.12 , pp. 3479-3496
    • Beveridge, S.1
  • 8
    • 0001793307 scopus 로고
    • The Evolution of Learning: An Experiment in Genetic Connectionism
    • Touretzky, D, et al, eds, Morgan Kaufmann, San Mateo
    • Chalmers, D.: The Evolution of Learning: An Experiment in Genetic Connectionism. In: Touretzky, D., et al. (eds.) Connectionist Models: Proceedings of the 1990 Summer School, pp. 81-90. Morgan Kaufmann, San Mateo (1991)
    • (1991) Connectionist Models: Proceedings of the 1990 Summer School , pp. 81-90
    • Chalmers, D.1
  • 12
    • 0009453294 scopus 로고
    • Comparison of Some Neural Network and Scatter Data Approximations: The Inverse Manipulator Kinematics Example
    • Gorinevsky, D., Connolly, T.H.: Comparison of Some Neural Network and Scatter Data Approximations: The Inverse Manipulator Kinematics Example. Neural Computation 6, 521-542 (1994)
    • (1994) Neural Computation , vol.6 , pp. 521-542
    • Gorinevsky, D.1    Connolly, T.H.2
  • 16
    • 0032599451 scopus 로고    scopus 로고
    • Time Series Prediction with Genetic Algorithm Designed Neural Networks: An Experimental Comparison with Modern Statistical Models
    • Hansen, J.V., McDonald, J.B., Nelson, R.D.: Time Series Prediction with Genetic Algorithm Designed Neural Networks: An Experimental Comparison with Modern Statistical Models. Computational Intelligence 15(3), 171-184 (1999)
    • (1999) Computational Intelligence , vol.15 , Issue.3 , pp. 171-184
    • Hansen, J.V.1    McDonald, J.B.2    Nelson, R.D.3
  • 21
    • 0036944430 scopus 로고    scopus 로고
    • Prediction of Recreational Travel using Genetically Designed Regression and Time Delay Neural Network Models
    • Lingras, P.J., Sharma, S.C., Zhong, M.: Prediction of Recreational Travel using Genetically Designed Regression and Time Delay Neural Network Models. Transportation Research Record 1805, pp. 16-24 (2002)
    • (2002) Transportation Research Record 1805 , pp. 16-24
    • Lingras, P.J.1    Sharma, S.C.2    Zhong, M.3
  • 26
    • 0000743347 scopus 로고
    • Training Feedforward Networks using Genetic Algorithms
    • Sridhara, N, ed, International Joint Conference on Artificial Intelligence, Detroit, Michigan, pp
    • Montana, D., Davis, L.: Training Feedforward Networks using Genetic Algorithms. In: Sridhara, N. (ed.) Proceedings of Eleventh International Joint Conference on Artificial Intelligence, Detroit, Michigan, pp. 762-767 (1989)
    • (1989) Proceedings of Eleventh , pp. 762-767
    • Montana, D.1    Davis, L.2
  • 27
    • 85069291154 scopus 로고    scopus 로고
    • Missing data, problems and solutions
    • Kempf-Leonard, K, ed, Elsevier, Amsterdam
    • Pickles, A.: Missing data, problems and solutions. In: Kempf-Leonard, K. (ed.) Encyclopedia of social measurement, pp. 689-694. Elsevier, Amsterdam (2005)
    • (2005) Encyclopedia of social measurement , pp. 689-694
    • Pickles, A.1
  • 31
    • 0028374275 scopus 로고
    • Robot Juggling: An Implementation of Memory-based Learning
    • Schaal, S., Atkeson, C.: Robot Juggling: An Implementation of Memory-based Learning. Control Systems 14, 57-71 (1994)
    • (1994) Control Systems , vol.14 , pp. 57-71
    • Schaal, S.1    Atkeson, C.2
  • 32
    • 39449103524 scopus 로고    scopus 로고
    • Schafer, J.L.: Analysis of incomplete multivariate data. Book No. 72, 72th edn. Chapman & Hall series Monographs on Statistics and Applied Probability. Chapman & Hall, London (1997)
    • Schafer, J.L.: Analysis of incomplete multivariate data. Book No. 72, 72th edn. Chapman & Hall series Monographs on Statistics and Applied Probability. Chapman & Hall, London (1997)
  • 34
    • 0032219074 scopus 로고    scopus 로고
    • Multiple imputation for multivariate missing-data problems: A data analyst's perspective
    • Schafer, J.L., Olsen, M.K.: Multiple imputation for multivariate missing-data problems: A data analyst's perspective. Multivariate Behavioral Research 33, 545-571 (1998)
    • (1998) Multivariate Behavioral Research , vol.33 , pp. 545-571
    • Schafer, J.L.1    Olsen, M.K.2
  • 36
    • 33748972008 scopus 로고
    • Filling in the Blanks: Multiple Imputation for Replacing Missing Values in Survey Data
    • New York
    • Wright, P.M.: Filling in the Blanks: Multiple Imputation for Replacing Missing Values in Survey Data. In: SAS 18th Annual Conference, New York (1993)
    • (1993) SAS 18th Annual Conference
    • Wright, P.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.