Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning.
Panos StinisPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- supervised learning
- function approximation
- unsupervised learning
- semi supervised
- supervised classification
- learning algorithm
- unsupervised methods
- unsupervised feature selection
- supervised training
- artificial neural networks
- discriminant projection
- non stationary
- supervised methods
- global consistency
- constrained optimization
- labeled data
- learning tasks
- machine learning
- weakly supervised
- geometric constraints
- disjunctive constraints
- active learning
- markov decision processes
- unsupervised manner
- training data
- pairwise
- search space
- dynamic programming
- linear programming
- restricted boltzmann machine
- neuro fuzzy
- linear constraints
- constraint satisfaction
- temporal difference
- action selection
- constraint networks
- learning problems
- radial basis function
- neural network model