Apr 9, 2019 · The proposed classifier is based on a bi-module belief estimation as well as the Generalized Minimum-based (G-Min) algorithm which has been ...
Jan 1, 2019 · The proposed classifier is based on a bi-module belief estimation as well as the Generalized Minimum-based (G-Min) algorithm which has been ...
The proposed classifier is based on a bi-module belief ... Generalized minimum-based (G-Min) algorithm has ... in both estimation (bi-module possibilistic method).
Jan 13, 2024 · Distinctively, we use the possibilistic approach to estimate beliefs from categorical data and a Generalized Minimum-based classification ...
A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based ...
Jan 1, 2017 · Distinctively, we use the possibilistic approach to estimate beliefs from categorical data and a Generalized Minimum-based classification ...
Jan 13, 2024 · [Show full abstract] In this paper, we investigate the use of the Generalized Minimum-based (G-Min) algorithm that has been recently suggested ...
Apr 25, 2024 · A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized ...
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A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based ...
A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based ...