A review of probabilistic forecasting and prediction with machine learning.
Hristos TyralisGeorgia PapacharalampousPublished in: CoRR (2022)
Keyphrases
- machine learning
- prediction model
- grey model
- financial time series
- stock market prediction
- predictive model
- exponential smoothing
- short term
- probabilistic model
- pattern recognition
- decision trees
- prediction accuracy
- artificial intelligence
- failure prediction
- forecasting accuracy
- bayesian networks
- active learning
- knowledge acquisition
- data mining
- reinforcement learning
- prediction error
- learning tasks
- machine learning methods
- probabilistic logic
- knowledge discovery
- natural language
- prediction algorithm
- computer vision
- medium term
- computer science
- artificial neural networks
- natural language processing
- inductive learning
- load forecasting
- box jenkins
- machine learning and statistical
- learning algorithm
- knowledge representation
- chaotic time series
- text mining
- computational intelligence
- model selection
- forecasting model
- predictive modeling
- generative model
- machine learning algorithms
- belief networks
- explanation based learning
- historical data