On Model Selection, Bayesian Networks, and the Fisher Information Integral.
Yuan ZouTeemu RoosPublished in: New Gener. Comput. (2017)
Keyphrases
- model selection
- fisher information
- bayesian networks
- cross validation
- hyperparameters
- probability density function
- parameter estimation
- regression model
- noise level
- euclidean space
- mixture model
- sample size
- graphical models
- gaussian process
- variable selection
- statistical inference
- exponential family
- probability distribution
- random variables
- hidden variables
- structure learning
- machine learning
- probabilistic model
- posterior probability
- data mining
- feature selection
- knn
- incomplete data
- density estimation
- estimation error
- conditional probabilities
- naive bayes
- similarity measure