Nacionalni portal odprte znanosti

The Netflix prize problem provides an excellent testing ground for machine learning. The problem is large scale and the data complex and noisy. It is therefore likely that relatively complex models with careful regularization are needed in order to get reasonable predictions. A Bayesian modeling app ...

Bayesian inference can be used to judge the data fit quantitatively through the marginal likelihood. In many practical cases only one model is considered and parameter averaging is simply used to avoid overfitting. I show such an example for a large data set of genomic sequence tags where we want to ...

We propose a novel framework for approximations to intractable probabilistic models. The method is based on a free energy formulation of inference and allows for a simultaneous computation of marginal expectations and the log partition function for continuous and discrete random variables. Using an ...