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Approximate Computing for ML: State-of-the-art, Challenges and Visions.
Georgios Zervakis
Hassaan Saadat
Hussam Amrouch
Andreas Gerstlauer
Sri Parameswaran
Jörg Henkel
Published in:
ASP-DAC (2021)
Keyphrases
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maximum likelihood
efficient computation
key issues
lessons learned
ambient intelligence
efficiently computing
open issues
search algorithm
knowledge base
decision making
learning algorithm
machine learning
database
data structure
virtual world
technical challenges
data mining