An Algorithm for Calculating the Distribution of Runs and Patterns - The Finite Markov Chain Imbedding Approach.
Lung-An LiTzu-Hui HuangPublished in: ICNC (5) (2008)
Keyphrases
- probabilistic model
- markov chain
- expectation maximization
- generative model
- monte carlo
- posterior probability
- em algorithm
- monte carlo simulation
- search space
- stationary distribution
- transition probabilities
- random walk
- learning algorithm
- steady state
- markov model
- finite state
- neural network
- monte carlo method
- bayesian framework
- dynamic programming
- prior knowledge
- genetic algorithm
- machine learning