Solving Laplace differential equation using Markov chains in Monte Carlo method.

Mario Kokorus Kemo Sokolija

Published in: ICAT (2013)

Keyphrases

markov chain
monte carlo method
differential equations
steady state
monte carlo
finite state
stochastic process
transition probabilities
state space
dynamical systems
partial differential equations
bayesian inference
computer vision
em algorithm
bayesian learning
prior knowledge
artificial neural networks