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pro vyhledávání: '"Dhoble, Saurabh"'
Compared to "black-box" models, like random forests and deep neural networks, explainable boosting machines (EBMs) are considered "glass-box" models that can be competitively accurate while also maintaining a higher degree of transparency and explain
Externí odkaz:
http://arxiv.org/abs/2311.07452
Autor:
Srinivasan, Sudarshan, Janedula, Pradeep, Dhoble, Saurabh, Avancha, Sasikanth, Das, Dipankar, Mellempudi, Naveen, Daga, Bharat, Langhammer, Martin, Baeckler, Gregg, Kaul, Bharat
Low-precision is the first order knob for achieving higher Artificial Intelligence Operations (AI-TOPS). However the algorithmic space for sub-8-bit precision compute is diverse, with disruptive changes happening frequently, making FPGAs a natural ch
Externí odkaz:
http://arxiv.org/abs/1908.11809
Autor:
Dhoble, Saurabh
Publikováno v:
SQL Server Pro; Aug2013, Vol. 15 Issue 8, p37-52, 16p, 9 Color Photographs, 1 Diagram, 1 Chart
