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Energy currently uses two such machines to model nuclear weapons.
We use hybrid state machines to model complex interdependencies between discrete and continuous time behaviors.
This paper proposes to use the convolution kernel over parse trees together with support vector machines to model syntactic structured information for relation extraction.
In a previous paper, we used Maurer machines to model and analyse micro-architectures.
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San-Yih Hwang et al. [14] proposed to use finite state machine to model the permitted invocation sequences of web service operations.
As mentioned in the previous section, the proposed soft-input arithmetic decoder does not use a finite-state machine to model the AC.
In the case of kernel machines, there are several attempts to model learning machines that mimic deep neural networks.
A computing machine was needed to model the explosion before the actual test was done.
We applied machine learning techniques to model DNA copy number amplifications.
10 11 We implement in this study four machine-learning techniques to model diabetes and hypertension in Kuwaiti inhabitants.
J C constitutive material model has been employed to model the machining process.
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