Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting.
Elin TörnquistWagner Costa SantosTimothy C. PogueNicholas WingleRobert A. CaulkPublished in: CoRR (2023)
Keyphrases
- computational efficiency
- machine learning
- computationally efficient
- arima model
- solution quality
- error rate
- efficient computation
- weather prediction
- pattern recognition
- computational complexity
- text mining
- knowledge acquisition
- artificial neural networks
- data mining
- satellite images
- real time
- weather forecasting
- learning algorithm
- error analysis
- artificial intelligence
- short term
- learning systems
- feature selection
- support vector machine
- numerical stability
- forecasting model
- early warning
- machine learning approaches
- estimation error
- decision trees
- error bounds
- computer vision
- hybrid model
- text classification
- natural language processing
- information extraction
- machine learning methods
- air pollution
- long term
- reinforcement learning