A Bayesian framework to integrate knowledge-based and data-driven inference tools for reliable yield diagnoses.
Chih-Min FanYun-Pei LuPublished in: WSC (2008)
Keyphrases
- bayesian framework
- data driven
- bayesian model
- prior knowledge
- decision support
- generative model
- posterior probability
- hyperparameters
- gaussian process
- posterior distribution
- data driven markov chain monte carlo
- bayesian models
- expectation maximization
- prior distribution
- dirichlet process
- probability density function
- maximum a posteriori
- bayesian methods
- bayesian formulation
- expert systems
- image reconstruction
- markov chain monte carlo
- machine learning