Tunable Floating-Point for Embedded Machine Learning Algorithms Implementation.

Marta Franceschi Alberto Nannarelli Maurizio Valle

Published in: SMACD (2018)

Keyphrases

machine learning algorithms
floating point
benchmark data sets
instruction set
learning algorithm
machine learning
decision trees

predictive accuracy
machine learning methods
fixed point
learning problems
random forests
square root
sparse matrices

machine learning models
machine learning systems
floating point arithmetic
learning models
learning tasks
semi supervised learning
machine learning and data mining algorithms

machine learning approaches
graphics processing units
fast fourier transform
domain specific
statistical machine learning
multi class
probabilistic model