A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems.
Mark P. BalenzuelaAdrian G. WillsChristopher RentonBrett NinnessPublished in: CoRR (2020)
Keyphrases
- linear systems
- learning algorithm
- dynamic programming
- reinforcement learning
- np hard
- linear programming
- real time
- objective function
- search space
- support vector machine svm
- sufficient conditions
- expectation maximisation
- coefficient matrix
- dynamical systems
- expectation maximization
- simulated annealing
- nearest neighbor
- optimal solution
- image segmentation