Bayesian estimation of discrete chaotic signals by MCMC.
David LuengoCarlos PantaleónIgnacio SantamaríaPublished in: EUSIPCO (2002)
Keyphrases
- bayesian estimation
- posterior distribution
- markov chain monte carlo
- bayesian framework
- probability distribution
- hopfield neural network
- parameter estimation
- latent variables
- blur identification
- markov chain
- hyperparameters
- posterior probability
- generative model
- maximum a posteriori
- pairwise
- support vector
- gaussian distribution
- cross validation
- expectation maximization
- semi supervised
- active learning
- prior knowledge