Information-decomposition-model-based missing value estimation for not missing at random dataset
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/article/10.1007/s13042-015-0354-5/fulltext.html
Reference48 articles.
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2. Vagin V, Fomina M (2011) Problem of knowledge discovery in noisy databases. Inter J Mach Learn Cybern 2(3):135–145
3. Yu T, Peng H et al (2011) Incorporating nonlinear relationships in microarray missing value imputation. Comput Biol Bioinform IEEE/ACM Trans 8(3):723–731
4. Rubin DB (1976) Inference and missing data. Biometrika 63(3):581–592
5. Zhang S, Qin Z et al (2005) Missing is useful: missing values in cost-sensitive decision trees. Knowl Data Eng IEEE Trans 17(12):1689–1693
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