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In filter method, the relevance of features is determined on the basis of inherent properties such as distance, consistency, and correlation without involving any classifier.
Furthermore, in this method, the relevance of the influenza parameter in the model and its effect on subsequent IPD cases is studied.
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The questions relate to the need for computational methods, the relevance of including various urban propagation effects in computational modelling, and to the preferable computational methods and approaches to use.
In addition to assessing the strength of methods, the relevance of the study was also assessed by setting limits for rates of application that would be considered environmentally relevant (based upon current recommended use rates [20]) and assigning a score of 0, 1, or 3 for relevance.
However, and in contrast to classical statistical methods, the relevance of each individual variable can not be quantified with these algorithms.
The method incorporates the relevance degree information into a manifold dimensionality reduction method, i.e., Locality Preserving Projections (LPP).
Finally, the method combines the relevance ranking score and the topic-specific ranking score with Borda-fuse method [6].
The proposed method ensures the relevance of the results.
The main objective of these sections consists in assessing the improvements obtained by the proposed method along the relevance feedback sessions, evaluating the increase of effectiveness results.
This method assesses the relevance of the weight of each link by means of a statistical validation at the level of the single node.
Numerous theoretical and experimental studies, conducted on the consistency of the method, confirmed the relevance between the fundamental frequency of ambient noise HVSR and the response of the superficial soil (e.g. [2, 30, 35, 44]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com