This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack Vector: This metric reflects the context by which vulnerability ...
Splitting variables out is not possible when they are reused as input parameters. Sometimes code changes the type of a local if a pointer to it is passed as a out parameter. Additionally it is not ...
Abstract: In this work, an efficient iterative dataset generation strategy is proposed, considering prediction accuracy and high impact input parameters as figures of merit to define a sufficient ...
Abstract: In this paper, a feature selection method for determining input parameters in antenna modeling is proposed. In antenna modeling, the input feature of artificial neural network (ANN) is ...
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With numerous markets reporting problems with overly optimistic P50 estimates, attention has also been drawn to similar issues with PAN files. TÜV Rheinland’s Yating Zhang and Christos Monokroussos ...
The effect of variability on learning is recognized in many fields: learning is harder when input is variable, but variability leads to better generalization of the knowledge we learned. In this ...
Random forest [1] is an ensemble method based on aggregating predictions from a large number of decision trees. Some of the advantages of random forest classification are the following: it is ...
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