34 citations · 100 across the 70 of their papers we have counts for
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Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers
Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj +2
Unlike its intercept, a linear classifier's weight vector cannot be tuned by a simple grid search. Hence, this paper proposes weight vector tuning of a generic binary linear classi…
Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings
Amine Bejaoui, Khalil Elkhalil, Abla Kammoun +2
The use of quadratic discriminant analysis (QDA) or its regularized version (R-QDA) for classification is often not recommended, due to its well-acknowledged high sensitivity to th…
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj +2
Datasets from the fields of bioinformatics, chemometrics, and face recognition are typically characterized by small samples of high-dimensional data. Among the many variants of lin…
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data
Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang +2
This paper carries out a large dimensional analysis of a variation of kernel ridge regression that we call \emph{centered kernel ridge regression} (CKRR), also known in the literat…