A new Neural Network to process missing data without imputation

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008

Volumn , Issue , 2008, Pages 756-762

  Randolph Gips, M ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS FUNCTIONS; CLASSIFICATION TESTS; FUNCTION APPROXIMATIONS; INPUT DATUM; MISSING DATUM; PROCESS DATUM; WEIGHTED NORMS;

ROBOT LEARNING;

FEEDFORWARD NEURAL NETWORKS;

EID: 60649120743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2008.89     Document Type: Conference Paper

References (10)

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5. J. L. Schafer, J.W. Graham, "Missing Data; Our View of the State of the Art," Psychological Methods, vol. 7, no. 2 pp. 147-177, 2002.
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10. P. Darcia-Laencina, J. Sancho-Gomez, A. Figueiras-Vidal, "Pattern Classification with Missing Vaues using Multitask Learning," Neural Networks, International Joint Conference on, pp. 3594-3601, 2006.