Assessment of Machine Learning Algorithms for Near-Sensor Computing under Radiation Soft Errors.
Matheus Garay TrindadeRodrigo Possamai BastosRafael GaribottiLuciano OstManon LeticheJerôme BeaucourPublished in: ICECS (2020)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning methods
- machine learning
- predictive accuracy
- decision trees
- random forests
- learning problems
- sensor networks
- sensor data
- x ray
- machine learning approaches
- inertial navigation
- input features
- machine learning models
- machine learning systems
- learning tasks
- transfer learning
- infrared
- statistical machine learning
- machine learning and data mining algorithms
- feature space
- data mining
- standard machine learning algorithms
- neural network