Many Models at the Edge: Scaling Deep Inference via Model-Level Caching.
Samuel S. OgdenGuin GilmanRobert J. WallsTian GuoPublished in: ACSOS (2021)
Keyphrases
- probabilistic model
- classification models
- statistical model
- hybrid model
- domain models
- accurate models
- computational model
- statistical models
- bayesian inference
- prediction model
- computational models
- autoregressive
- high level
- linear model
- mathematical models
- parametric models
- decision theoretic
- objective function
- prior knowledge
- bayesian framework
- experimental data
- mathematical model
- process model
- parameter estimation
- artificial neural networks
- multiple models
- inference process
- independence assumption
- bayesian model
- analytical model
- predictive model
- random fields
- neural network model
- object model
- probabilistic inference
- learning models