Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors.
Sinan YildirimM. Burak KurutmazMelih BarsbeyUmut SimsekliA. Taylan CemgilPublished in: IEEE J. Sel. Top. Signal Process. (2021)
Keyphrases
- model selection
- marginal likelihood
- information criterion
- bayesian learning
- parameter estimation
- bayesian information criterion
- cross validation
- hyperparameters
- bayesian methods
- model selection criteria
- gaussian process
- probabilistic model
- exponential family
- selection criterion
- regression model
- mixture model
- gaussian processes
- approximate inference
- machine learning
- closed form
- statistical models
- statistical model
- sample size
- variable selection
- bayesian inference
- dynamic bayesian networks
- probability model
- maximum likelihood
- language model
- decision trees
- data mining