A comparative study for COVID-19 cases forecasting with loss function as AIC and MSE in RNN family and ARIMA.
Naoki DohiNamal RathnayakeYukinobu HoshinoPublished in: SCIS/ISIS (2022)
Keyphrases
- loss function
- short term
- pairwise
- recurrent neural networks
- arima model
- learning to rank
- empirical risk
- logistic regression
- support vector
- nearest neighbor
- exponential smoothing
- long term
- boosting framework
- risk minimization
- special case
- maximum likelihood
- artificial neural networks
- hinge loss
- convex loss functions
- reproducing kernel hilbert space
- neural network
- autoregressive integrated moving average
- solution path
- boosting algorithms
- feature space
- decision trees