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- W2611152032 abstract "We present a framework for optimal Bayesian feature selection and missing value estimation. Based on this framework, we derive optimal algorithms under an independent Gaussian model, and provide fast sub-optimal methods with superb performance for a dependent Gaussian model." @default.
- W2611152032 created "2017-05-12" @default.
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- W2611152032 date "2016-12-01" @default.
- W2611152032 modified "2023-09-26" @default.
- W2611152032 title "Optimal Bayesian feature selection with missing data" @default.
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- W2611152032 doi "https://doi.org/10.1109/globalsip.2016.7905798" @default.
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