We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

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Abstract: Due to the big data blowout from the Internet of Things and the rapid development of cloud computing, outsourcing computation has received considerable attention in recent years.

Abstract: We introduce sparse polynomial zonotopes, a new set representation for formal verification of hybrid systems. Sparse polynomial zonotopes can represent nonconvex sets and are generalizations ...

Polynomial Regression is a process by which given a set of inputs and their corresponding outputs, we find an nth degree polynomial f(x) which converts the inputs into the outputs. This f(x) is of the ...