English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

It is shown how expectation maximization (EM) may be viewed as a messagepassing algorithm in factor graphs. In particular, a general EM messagecomputation rule is identified. As a factor graph tool, EM may be used to breakcycles in a factor graph, and tractable messages may in some cases be obtainedwhere the sum-product messages are unwieldy.  As an exemplary application, the paper considers linear Gaussian state spacemodels. Unknown coefficients in such models give rise to multipliers in thecorresponding factor graph. A main attraction of EM in such cases is that itresults in purely Gaussian message passing algorithms. These Gaussian EMmessages are tabulated for several (scalar, vector, matrix) multipliers thatfrequently appear in applications.

Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages