The paper proposes a novel adjustment function that is based on the well-known weighted h-Categorizer, and investigates its formal properties.
Nov 22, 2020 · Abstract. The paper investigates gradual semantics that are able to deal with simi- larity between arguments. Following the approach that ...
It aims at reducing the strengths of attackers according to the possible similarities between them. The reason is that similarity is seen as redundancy that ...
Argumentation is a reasoning approach based on interacting arguments . [a] My salary is quite high then I can rent the apartment.
Oct 22, 2024 · The paper investigates gradual semantics that are able to deal with similarity between arguments. Following the approach that defines ...
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Abstract: For an adjustment of a similarity transforma- tion, it is often appropriate to consider that both the source and the target coordinates of the ...
One commonly used type of similarity function is the edit-based similarity function, which calculates the number of edit operations needed to transform one ...
Propensity score weighting and outcome regression are popular ways to adjust for observed confounders in epidemiologic research.
In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously.
An adjustment function for dealing with similarities. L Amgoud, V David. (COMMA) Computational Models of Argument, 79-90, 2020. 5, 2020. Similarity Measures ...