Matthew Jin

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Bayesian optimization has emerged as a powerful , new technique for interpolating and optimizing a wide range of functions which are expensive to compute. The primary tool of Bayesian optimization is the Gaussian process , which permits one to define a prior belief , which is then transformed into a posterior through sequential sampling of points.(More)
In this paper, we present a system partitioning technique in which the input system specification is based on C++ language. The proposed technique processes data and precedence dependencies simultaneously in one graph representation DADGP, which is an extension of Directed Acyclic Graph (DAG). The DADGP (Directed Acyclic Data dependency Graph with(More)
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