42 citations · 95 across the 22 of their papers we have counts for
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cs.LG2023
Support matrix machine: A review
Anuradha Kumari, Mushir Akhtar, Rupal Shah +1
Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. H…
cs.LG2023★ 42 cited
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
Mushir Akhtar, M. Tanveer, Mohd. Arshad
In the domain of machine learning, the significance of the loss function is paramount, especially in supervised learning tasks. It serves as a fundamental pillar that profoundly in…