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28
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ICML
2006
IEEE
161
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Machine Learning
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ICML 2006
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Bayesian regression with input noise for high dimensional data
15 years 11 days ago
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www-clmc.usc.edu
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
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