Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms.
Dohyun KimJunseok KwonJoongheon KimPublished in: SMC (2018)
Keyphrases
- model selection
- low complexity
- real time
- vlsi architecture
- control system
- cross validation
- motion estimation
- computational complexity
- learning platforms
- selection criterion
- closed loop
- control scheme
- model selection criteria
- learning activities
- online learning
- control law
- information criterion
- machine learning
- bayesian information criterion
- learning processes
- learning management systems
- distributed video coding
- graphical models