Lecture

Graphical models: Inference and Factor Graphs

In course
DEMO: non excepteur
Laborum ex cillum excepteur et sunt sit ea nulla dolore. Culpa dolore consectetur nulla consequat ipsum sit amet labore reprehenderit qui eiusmod tempor eiusmod aliquip. Duis sunt ex consectetur ullamco magna nostrud elit irure reprehenderit.
Login to see this section
Description

This lecture covers the topic of graphical models, focusing on inference and factor graphs. It explains the concept of graphical models, interactions, and factor graphs, illustrating with examples and equations. The lecture discusses the use of factor graphs for modeling complex systems and making probabilistic inferences.

Instructors (2)
incididunt occaecat duis
Aute nulla amet esse in. Exercitation duis veniam reprehenderit Lorem magna. Lorem fugiat fugiat esse amet ut voluptate duis exercitation ea.
veniam aliquip ex
Consectetur aliqua commodo reprehenderit duis dolor nostrud elit aliqua duis cupidatat. Voluptate in cillum officia reprehenderit labore excepteur eu labore nulla cupidatat dolore reprehenderit esse fugiat. Eiusmod veniam eu et velit cillum. Deserunt reprehenderit sit ipsum cupidatat nulla magna sunt sit magna ut. Dolore veniam officia fugiat laboris. Nisi mollit laboris esse sit dolore incididunt eiusmod sunt esse duis.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (88)
Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Linear Transformations: Matrices and Kernels
Covers linear transformations, matrices, kernels, and properties of invertible matrices.
Cayley Graphs: Properties and Applications
Explores the properties and applications of Cayley graphs in group theory and network analysis.
Vectors: Fundamentals
Covers the basic concepts related to vectors, including their definition, operations, and properties, as well as applications through examples and the Varignon's theorem.
Counterfactuals: SEM and D-Separation
Explores counterfactuals in SEMs and D-Separation in graphical models.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.