[Коллоквиум]: Probabilistic graphical models: Factor graphs and more
3,453 views · Published 3 January 2015 · 1:17:41 · Indexed 20 September 2026
Channel: ФКН ВШЭ · 2015 · Education
Докладчик: Frederico Wadehn - ETH Zurich (Швейцарская высшая техническая школа Цюриха). Язык выступления: English. Описание: Probabilistic graphical models together with dedicated algorithms such as belief propagation and other message passing algorithms allow a unified approach to a multitude of problems arising in signal processing, coding theory as well as in statistical inference in general. The following talk will briefly cover Bayesian networks and Markov random fields before focussing on factor graphs and related algorithms such as sum-product message passing. Various toy examples as well as an input estimation and a Bayesian inference algorithm using the factor graph description language will be shown.
