Probabilistic Graphical Models

  • Arhant, Y. (Deelnemer)
  • Aleksandra Pizurica (Organisator)

Activiteit: Deelnemen aan een evenement (conferntie, meetcampagne, ...) of er een organiseren › Een cursus bijwonen en slagen voor het examen

Beschrijving

Probabilistic Graphical Models

Bijkomende beschrijving

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.
Periode1 feb. 2022 → 1 jul. 2022
EvenementstypeCursus
OrganisatorUniversity of Ghent
LocatieGhent, BelgiëToon op kaart
Mate van erkenningInternationaal