Probabilistic Graphical Models

Beschreibung

Probabilistic Graphical Models

Additional Description

Probabilistic graphical models are powerful tools for representing complex inference problems and incorporating uncertainty into the reasoning process. As such, they find numerous applications in many domains, including machine learning, computer vision, natural language processing and computational biology. Incorporating uncertainties into reasoning and decision-making processes is especially important in high-stakes applications (e.g., health), where data is scarce, or the model structure is uncertain. The course gives a strong theoretical basis as well as practical insights into probabilistic graphical models and the corresponding inference mechanisms.

Zeitraum	1 Feb. 2022 → 1 Juli 2022
Veranstaltungstyp	Kurs
Organisator/-in	University of Ghent
Ort	Ghent, BelgienAuf Karte anzeigen
Bekanntheitsgrad	International