Concepedia

Concept

graphical models

Parents

723

Publications

62.9K

Citations

1.4K

Authors

524

Institutions

About

Graphical models is a class of probabilistic models that utilizes graphs to represent the conditional dependencies between a set of random variables. Nodes in the graph typically correspond to variables, while edges encode the dependencies among them, providing a structured framework for representing, analyzing, and performing inference on complex multivariate probability distributions.

Top Authors

Rankings shown are based on concept H-Index.

SL

Aalborg University

RD

University of California, Irvine

MI

University of California, Berkeley

MJ

University of California, Berkeley

AS

Massachusetts Institute of Technology

Top Institutions

Rankings shown are based on concept H-Index.

University of Washington

Seattle, United States

University of California, Berkeley

Berkeley, United States

Pittsburgh, United States