Adaptive Kernel Density Estimation with Generalized Least Square Cross-Validation
نویسندگان
چکیده
منابع مشابه
Kernel least mean square with adaptive kernel size
Kernel adaptive filters (KAF) are a class of powerful nonlinear filters developed in Reproducing Kernel Hilbert Space (RKHS). The Gaussian kernel is usually the default kernel in KAF algorithms, but selecting the proper kernel size (bandwidth) is still an open important issue especially for learning with small sample sizes. In previous research, the kernel size was set manually or estimated in ...
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ژورنال
عنوان ژورنال: Hacettepe Journal of Mathematics and Statistics
سال: 2018
ISSN: 1303-5010
DOI: 10.15672/hjms.2018.623