On Model Selection, Bayesian Networks, and the Fisher Information Integral.
Yuan ZouTeemu RoosPublished in: AMBN@JSAI-isAI (2015)
Keyphrases
- model selection
- fisher information
- bayesian networks
- cross validation
- hyperparameters
- sample size
- parameter estimation
- probability density function
- graphical models
- noise level
- machine learning
- probability distribution
- euclidean space
- probabilistic inference
- feature selection
- statistical inference
- free energy
- mixture model
- exponential family
- variable selection
- regression model
- conditional probabilities
- posterior probability
- gaussian process
- probabilistic model
- structure learning
- hidden variables
- incomplete data
- naive bayes
- estimation error
- approximate inference
- low dimensional
- language model
- high dimensional data