Mar 15, 2012 · The models are based on a new family of priors that are generally usable for all such factorizations. We also introduce new inference strategies ...

We will first recap the general form of exponential fam- ily projection models, and proceed to introduce in de- tail the assumptions that result in the multi- ...

This work presents the first exponential family multi-view learning methods of the partial least squares and canonical correlation analysis, ...

Several methods tackle both challenges by considering common and individual decomposition of natural parameter matrices in exponential family framework, with ...

We extend the EPCA model toolbox by presenting the first exponential family multi-view learning methods of the partial least squares and canonical correlation ...

Bayesian exponential family projections for coupled data sources. In P. Grunwald, & P. Spirtes (Eds.), The Twenty-Sixth Conference on Uncertainty in Artificial ...

Bayesian exponential family projections for coupled data sources ; Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010).

Nov 17, 2021 · Probability distributions from the exponential family are often used as the "link function" in regression problems.

Bibliographic details on Bayesian exponential family projections for coupled data sources.

Bayesian exponential family projections for coupled data sources. A. Klami, S. Virtanen, and S. Kaski. CoRR, (2012 ). 1. 1. Meta data. BibTeX key: journals/corr ...