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In this paper Support Vector Classifiers are adopted as the means of making these binary decisions.
The cavities used in this paper support two orthogonal degenerate resonance modes.
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In this paper, support vector regression (SVR), an emerging artificial intelligence tool in forecasting storm surges is applied.
In this paper, support vector machines are explored as an intelligent technique to correlate porosity to well log data.
In this paper, support presents the probability of belonging to one class and confidence shows the association value between the classes.
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