Machine learning for time series: from forecasting to causal inference.
Gianluca BontempiPublished in: SETN (2022)
Keyphrases
- causal inference
- machine learning
- rare events
- abductive reasoning
- additive noise
- causal models
- discrete data
- data mining
- learning algorithm
- nonmonotonic reasoning
- text classification
- fraud detection
- support vector machine
- image denoising
- experimental data
- non stationary
- text mining
- information extraction
- active learning