Fuzzy number approximation techniques aim to represent complex uncertain quantities in a form that is tractable for analysis and computation. Broadly speaking, original fuzzy numbers may be nonlinear ...
Kernel functions are vital ingredients of several machine learning (ML) algorithms but often incur substantial memory and computational costs. We introduce an approach to kernel approximation in ML ...
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