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Showing 1 to 4 of 4 for “"Multivariate splines"”.
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A Survey of Applications of Spline Functions to Statistics.
… to statistics. We start with a brief history of splines. Then, we discuss the application of splines to statistics as they are applied today. Several topics included in the discussion are splines, spline regression, spline smoothing, and estimating the smoothing parameter for spline regression. …
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Delaunay Configuration B-Splines
The generalization of univariate splines to higher dimensions is not straightforward. There are different approaches, each with its own advantages and drawbacks. A promising approach using Delaunay configurations and simplex splines is due to Neamtu. After recalling fundamentals of univariate …
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Applications of Probabilistic Machine Learning Models to Semiconductor Fabrication
… approaches, including polynomial models, multivariate splines, gradient boosted regression trees, and a number of different deep learning architectures. While these four case studies each consider a unique application of probabilistic methods to semiconductor fabrication, two key themes …