Tunable Floating-Point for Embedded Machine Learning Algorithms Implementation.
Marta FranceschiAlberto NannarelliMaurizio VallePublished 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