1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DS2023★ 1 cited
Computing the Vapnik Chervonenkis Dimension for Non-Discrete Settings
Mohammed Nechba, Mouhajir Mohamed, Sedjari Yassine
In 1984, Valiant [ 7 ] introduced the Probably Approximately Correct (PAC) learning framework for boolean function classes. Blumer et al. [ 2] extended this model in 1989 by introd…
cs.LG2023
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
Nechba Mohammed, Mouhajir Mohamed, Sedjari Yassine
We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large d…