May 15, 2018 · The main idea is to penalize the classification errors unevenly with a weighted sum according to their distances from their respective canonical ...
In this work, the classical soft-margin Support Vector Machine (SVM) formulation is redefined with the inclusion of an Ordered Weighted Averaging (OWA) ...
May 15, 2018 · 2018 Elsevier B.V. In this work, the classical soft-margin Support Vector Machine (SVM) formulation is redefined with the inclusion of an ...
In this work, the classical soft-margin Support Vector Machine (SVM) formulation is redefined with the inclusion of an Ordered Weighted Averaging (OWA) ...
Jul 14, 2021 · This paper deals with an extension of the Support Vector Machine (SVM) for classification problems where, in addition to maximize the margin ...
Jul 14, 2021 · This paper deals with an extension of the Support Vector Machine (SVM) for classification problems where, in addition to maximize the margin,
Missing: Redefining | Show results with:Redefining
Nov 19, 2021 · This paper deals with a cost sensitive extension of the standard Support Vector Machine (SVM) using an ordered weighted sum of the ...
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The algorithm developed is to avoid and minimize the tradeoff and hinge loss problems of typical SVM classifications.
Support vector machines (SVMs) offer a direct approach to binary classification: try to find a hyperplane in some feature space that “best” separates the two ...
Apr 5, 2022 · Support vector machines are still taught. People offered several thoughts: they're easier to think about, they're still perfectly good for some real-world ...
Missing: Redefining average.