Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms.
Saras Mani MishraAnkita TiwariHanumant Singh ShekhawatPrithwijit GuhaGaurav TrivediJan PidanicZdenek NemecPublished in: RADIOELEKTRONIKA (2022)
Keyphrases
- machine learning algorithms
- efficient implementation
- floating point
- benchmark data sets
- learning algorithm
- decision trees
- machine learning methods
- machine learning
- learning problems
- predictive accuracy
- fixed point
- random forests
- machine learning approaches
- sparse matrices
- active set
- hardware implementation
- standard machine learning algorithms
- machine learning models
- floating point arithmetic
- graphics processing units
- machine learning systems
- learning tasks
- instruction set
- learning models
- computer systems
- graph cuts