Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability.
Anderson Luiz SartorPedro Henrique Exenberger BeckerStephan WongRadu MarculescuAntonio Carlos Schneider BeckPublished in: ISVLSI (2019)
Keyphrases
- feature selection
- machine learning
- text classification
- energy minimization
- model selection
- total energy
- artificial intelligence
- knowledge acquisition
- power distribution systems
- low energy
- highly reliable
- parallel processors
- energy consumption
- high speed
- active learning
- minimum energy
- error detection
- data mining
- computational intelligence
- learning algorithm
- decision trees
- pattern recognition
- computer science
- inductive learning
- learning problems
- learning tasks
- machine learning methods
- knowledge representation
- learning systems
- information extraction
- neural network
- supervised learning