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Analog VLSI implementation of kernel-based classifiers
(Institute of Electrical and Electronics Engineers (IEEE), 1994)
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Kernel-based classifiers are neural networks (radial basis functions) where the probability densities of each class of data are first estimated, to be used thereafter to approximate Bayes boundaries between classes. Such ...