Adaptive deep learning model selection on embedded systems.
Ben TaylorVicent Sanz MarcoWilly WolffYehia ElkhatibZheng WangPublished in: LCTES (2018)
Keyphrases
- model selection
- embedded systems
- deep learning
- unsupervised learning
- machine learning
- cross validation
- low cost
- parameter estimation
- mixture model
- feature selection
- information criterion
- selection criterion
- gaussian process
- mental models
- model selection criteria
- software systems
- learning algorithm
- generalization error
- weakly supervised
- higher order
- similarity measure
- marginal likelihood
- data sets