Zobrazeno 1 - 2
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pro vyhledávání: '"Yassine, Sedjari"'
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 introducing the VC dimension as a tool to characterize the learnability of P
Externí odkaz:
http://arxiv.org/abs/2308.10041
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 data sets. Our implementation is a direct translation of the parallel G
Externí odkaz:
http://arxiv.org/abs/2308.10037