Probabilistic Graphical Models

  • Arhant, Y. (Participant)
  • Aleksandra Pizurica (Organisateur)

Activité: Participation ou organisation d'un événement (conférence, campagne de mesure) › Suivre un cours et réussir l'examen

Description

Probabilistic Graphical Models

Description complémentaire

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.
Période1 févr. 2022 → 1 juil. 2022
Type d'événementCours
OrganisateurUniversity of Ghent
EmplacementGhent, BelgiqueAfficher sur la carte
Degré de reconnaissanceInternational