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- W329691305 abstract "In this paper, a method is developed for estimating the optimal smoothing parameter ε for periodic control theoretic smoothing splines. The procedure is based on general cross validation (GCV) and requires no a priori information about the underlying curve or level of noise in the measurements. The optimal ε is the minimizer of an estimated GCV cost function, which is derived based on a discretization of the L 2 smoothing problem for periodic control theoretic smoothing splines.KeywordsPath PlanningPeriodic ControlSmoothing ParameterQuadratic Programming ProblemSmoothing SplineThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W329691305 date "2010-01-01" @default.
- W329691305 modified "2023-10-03" @default.
- W329691305 title "An Estimated General Cross Validation Function for Periodic Control Theoretic Smoothing Splines" @default.
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- W329691305 doi "https://doi.org/10.1007/978-3-540-93918-4_9" @default.
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