Temporal Dependencies in Feature Importance for Time Series Predictions.
Clayton RookeJonathan SmithKin Kwan LeungMaksims VolkovsSaba ZuberiPublished in: CoRR (2021)
Keyphrases
- temporal dependencies
- feature importance
- spatial and temporal
- random forest
- multivariate time series
- relevance feedback
- temporal information
- semi supervised
- feature selection
- sequential data
- temporal patterns
- temporal relationships
- rule mining
- information retrieval
- temporal data
- machine learning
- space time
- multi dimensional
- hidden markov models
- feature space
- decision trees