A Scalable Learning Model for Multi-seasonal Time Series Forecasting.
Hun-Jeong KangChristopher KallasMyung-Hwan ParkJinoh KimPublished in: ICEIC (2021)
Keyphrases
- prior knowledge
- probabilistic model
- computational model
- learning scheme
- high level
- formal model
- statistical model
- learning mechanism
- classification models
- experimental data
- unsupervised learning
- learning algorithm
- probability distribution
- data sets
- cost function
- conceptual model
- multi agent
- objective function
- neural nets
- learning models
- hidden variables
- inductive inference
- dynamic bayesian networks
- genetic algorithm