A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting.
Aryan JadonAvinash PatilShruti JadonPublished in: CoRR (2022)
Keyphrases
- loss function
- support vector
- pairwise
- artificial neural networks
- learning to rank
- squared error
- reproducing kernel hilbert space
- learning models
- empirical risk
- risk minimization
- logistic regression
- loss minimization
- boosting algorithms
- hinge loss
- boosting framework
- feature selection
- special case
- maximum entropy
- nearest neighbor
- update rules