AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices.
Shikhar TuliShreshth TuliPublished in: CoRR (2020)
Keyphrases
- machine learning
- adaptive control
- mobile devices
- learning algorithm
- neural network
- weighted graph
- control system
- machine learning algorithms
- natural language processing
- active learning
- adaptive neural
- artificial intelligence
- inductive learning
- closed loop
- learning tasks
- edge information
- machine learning approaches
- adaptive fuzzy
- knowledge acquisition
- knowledge representation
- pattern recognition
- explanation based learning
- edge detection
- floating gate
- demosaicing algorithm
- optimal control
- machine learning methods
- computational intelligence
- supervised learning
- knowledge discovery
- decision trees
- computer vision
- data mining