Abstract: To approximate functions of a single variable by using linear interpolation is routine in empirical studies. Here, we consider approximating functions of several variables in a similar ...
Abstract: In this letter, we present an attentional non-linear activation function approximation method called ATA for VLSI-based neural networks. Unlike other approximation methods that pursue the ...
Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...
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