Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations.
William SchoenbergPublished in: CoRR (2019)
Keyphrases
- differential equations
- multi step
- machine learning
- dynamical systems
- ordinary differential equations
- boundary value problem
- numerical solution
- artificial neural networks
- partial differential equations
- numerical methods
- feature selection
- learning algorithm
- knn
- pattern recognition
- k nearest neighbor
- text classification
- data mining
- nonlinear differential equations
- single step
- image analysis
- decision trees
- image processing
- computer vision
- difference equations
- text mining
- semi supervised
- data sets