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Bounds Estimation Via Regression with Asymmetric Cost FunctionsThis paper addresses a significant but mostly-neglected class of problems that we call bounds estimation. This includes learning empirical best-case and worst-case algorithmic complexity bounds and red-line bounds on sensor data.
Document ID
20060035458
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
DeCoste, D.
Date Acquired
August 23, 2013
Publication Date
August 23, 1997
Distribution Limits
Public
Copyright
Other
Keywords
regression-based learning algorithm bounds estimation Via 2 regressions
Asymmetric Cost Function

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