Bayesian Self-Organization Driven by Prior Probability Distributions.
Alan L. YuilleStelios M. SmirnakisLei XuPublished in: Neural Comput. (1995)
Keyphrases
- probability distribution
- prior distribution
- posterior distribution
- bayesian model
- bayesian networks
- posterior probability
- data driven
- bayesian methods
- random variables
- bayesian estimation
- fully bayesian
- prior model
- bayesian learning
- probability density function
- maximum a posteriori
- prior information
- prior knowledge
- multi agent
- dirichlet process
- prior probabilities
- bayesian inference
- conditional probabilities
- gaussian processes
- bayesian decision
- unsupervised learning
- conjugate priors
- support vector
- joint probability distributions
- model averaging
- learning algorithm
- proposal distribution
- dirichlet distribution
- markov chain monte carlo
- bayesian framework
- model selection
- training data