lineality space
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.65)
Mixtures and products in two graphical models
We compare two statistical models of three binary random variables. One is a mixture model and the other is a product of mixtures model called a restricted Boltzmann machine. Although the two models we study look different from their parametrizations, we show that they represent the same set of distributions on the interior of the probability simplex, and are equal up to closure. We give a semi-algebraic description of the model in terms of six binomial inequalities and obtain closed form expressions for the maximum likelihood estimates. We briefly discuss extensions to larger models.
1709.05276
Country:
- North America > United States > California > Los Angeles County > Los Angeles (0.14)
- North America > United States > Rhode Island > Providence County > Providence (0.04)
- North America > United States > New York (0.04)
- (4 more...)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.35)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.35)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.34)