When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.
Harshavardhan KamarthiLingkai KongAlexander RodríguezChao ZhangB. Aditya PrakashPublished in: CoRR (2021)
Keyphrases
- network architecture
- short term
- neural network
- artificial neural networks
- incomplete information
- support vector regression
- inherent uncertainty
- learning rules
- robust optimization
- autoregressive model
- neural computation
- sir model
- hiv aids
- medium term
- weather forecasting
- arima model
- neural fuzzy
- hebbian learning
- wind speed
- forecasting model
- neural model
- prediction model
- uncertain data