Efficient performance estimation with very small sample size via physical subspace projection and maximum a posteriori estimation
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Li Yu, Sharad Saxena, Christopher Hess, Ibrahim M. Elfadel, Dimitri A. Antoniadis, Duane S. Boning
Efficient performance estimation with very small sample size via physical subspace projection and maximum a posteriori estimation
DATE, 2014.

DATE 2014
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@inproceedings{DATE-2014-YuSHEAB,
	author        = "Li Yu and Sharad Saxena and Christopher Hess and Ibrahim M. Elfadel and Dimitri A. Antoniadis and Duane S. Boning",
	booktitle     = "{Proceedings of the 18th Conference and Exhibition on Design, Automation and Test in Europe}",
	doi           = "10.7873/DATE.2014.239",
	pages         = "1--6",
	publisher     = "{IEEE}",
	title         = "{Efficient performance estimation with very small sample size via physical subspace projection and maximum a posteriori estimation}",
	year          = 2014,
}

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