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The single machine model has similar tendency as the DFR and ASF models.
Quantum computation, using the evolution of wave-functions rather than classical machine states, is the most important way in which Turing machine model has been challenged.
A support vector machine model has been trained using these features, and the model has been tested using the LIVE 3D database.
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The support vector machine model had a remarkably high optimism (0.171).
Although in most cases, the support vector machines model has more than 70 support vectors, the number of relevance vectors related to different activities is always not more than 4, which implies a great simplicity in the classifier structure.
In general, the support vector machine models have the highest PAP as compared to the other three types of mathematical models.
Simulations results performed on the basis of two versions of the sliding-mode controller and applied to a multi-machine model have demonstrated better performances when compared to an Hamiltonian passive controller design.
The cooling machine thermodynamic model has been carried out using EES (engineering equation solver).
Thanks to the statistical criteria gained from the outcomes obtained from LSSVM approach, the proposed least support vector machine (LSSVM) model has high integrity and performance.
Among these approaches, the support vector machine (SVM) model has become increasingly popular.
In order to address this reliability estimation problem, the concept of the applicability domain (AD) of a machine-learning model has been introduced [18 23].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com