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A computing framework that links random configuration generators and finite element analysis has been developed.
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Works like [4, 5] have already attempted to bring an Associative Classifier on a distributed computing framework, and proved the feasibility of such a system.
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In this work, we propose a Distributed Associative Classifier, in short DAC, which trains an ensemble model in a distributed computing framework.
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The Defense Department's research arm has officially kicked off its effort to create a modular computing framework, with pieces pulled from a mix-'n-match set of "chiplets".
Moreover, since there are massive independent approximation processes in the polynomial approximation-based approach, a distributed computing framework is designed to carry out the computation for this method.
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