Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen ElsayedDaniela ThyssensAhmed RashedLars Schmidt-ThiemeHadi Samer JomaaPublished in: CoRR (2021)
Keyphrases
- learning models
- loss function
- learning algorithm
- learning tasks
- machine learning
- semi supervised learning
- artificial neural networks
- conditional random fields
- learning paradigms
- learning problems
- machine learning algorithms
- classification models
- machine learning models
- supervised learning
- maximum likelihood
- feature set
- natural language processing
- prior knowledge
- recommender systems
- information retrieval
- neural network