Enforcing Constraints for Time Series Prediction in Supervised, Unsupervised and Reinforcement Learning.
Panos StinisPublished in: AAAI Spring Symposium: MLPS (2020)
Keyphrases
- reinforcement learning
- supervised learning
- function approximation
- unsupervised learning
- semi supervised
- unsupervised methods
- learning algorithm
- discriminant projection
- state space
- unsupervised feature selection
- supervised classification
- weakly supervised
- disjunctive constraints
- global consistency
- word sense induction
- neuro fuzzy
- supervised methods
- constraint networks
- temporal difference
- autoregressive
- geometric constraints
- learning tasks
- supervised training
- reducing the search space
- markov decision processes
- artificial neural networks
- multi agent