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• W2128606918 abstract "Radial basis functions for discrimination and regression have been used with some success in a wide variety of applications. Here, we investigate the optimal choice for the form of the basis functions and present an iterative strategy for obtaining the function in a regression context using a conjugate gradient-based algorithm together with a nonparametric smoother. This is developed in a discrimination framework using the concept of optimal scaling. Results are presented for a range of simulated and real data sets." @default.
• W2128606918 created "2016-06-24" @default.
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• W2128606918 date "1998-01-01" @default.
• W2128606918 modified "2023-10-14" @default.
• W2128606918 title "Shape-adaptive radial basis functions" @default.
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• W2128606918 doi "https://doi.org/10.1109/72.728359" @default.
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