Keep in Balance: Runtime-reconfigurable Intermittent Deep Inference.
Chih-Hsuan YenHashan Roshantha MendisTei-Wei KuoPi-Cheng HsiuPublished in: ACM Trans. Embed. Comput. Syst. (2023)
Keyphrases
- inference mechanism
- efficient learning
- bayesian networks
- low cost
- belief nets
- inference process
- model based diagnosis
- bayesian inference
- probabilistic inference
- case study
- general purpose
- bayesian model
- deep learning
- genetic algorithm
- reconfigurable architecture
- systolic array
- data sets
- belief networks
- artificial neural networks
- data mining