Memory cocktail therapy: a general learning-based framework to optimize dynamic tradeoffs in NVMs.
Zhaoxia DengLunkai ZhangNikita MishraHenry HoffmannFrederic T. ChongPublished in: MICRO (2017)
Keyphrases
- learning algorithm
- learning scheme
- learning process
- neural network
- learning tasks
- supervised learning
- learning mechanism
- online learning
- dynamic environments
- learning systems
- theoretical framework
- background knowledge
- reinforcement learning
- conceptual framework
- kernel learning
- elementary school
- dynamically adjust
- learning frameworks
- memory usage
- main contribution
- probabilistic model
- special case
- active learning
- genetic algorithm