Bayesian networks | Graph algorithms

Junction tree algorithm

The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs. In essence, it entails performing belief propagation on a modified graph called a junction tree. The graph is called a tree because it branches into different sections of data; nodes of variables are the branches. The basic premise is to eliminate cycles by clustering them into single nodes. Multiple extensive classes of queries can be compiled at the same time into larger structures of data. There are different algorithms to meet specific needs and for what needs to be calculated. Inference algorithms gather new developments in the data and calculate it based on the new information provided. (Wikipedia).

Junction tree algorithm
Video thumbnail

An Introduction to Propositional Logic

An introduction to propositions, truth tables, and logical equivalence, and logical operators — including negation, conjunction, disjunction, and implication. *** Spanning Tree is a collection of educational videos covering topics related to computer science and mathematics. https://span

From playlist Spanning Tree's Most Recent

Video thumbnail

Tree center(s) | Graph Theory

How to find the center node(s) of tree Algorithms repository: https://github.com/williamfiset/algorithms#tree-algorithms Video slides: https://github.com/williamfiset/Algorithms/tree/master/slides Video source code: https://github.com/williamfiset/Algorithms/tree/master/src/main/java/co

From playlist Tree Algorithms

Video thumbnail

Searching a Tree - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

A Computer Built With Dominos

By arranging enough dominos into just the right structure, we can build a computer. But how do we arrange dominos in such a way that they can perform computation? Here, we explore the process of building domino logical circuits by carefully arranging dominos into configurations that can co

From playlist Spanning Tree Favorites

Video thumbnail

Introduction to tree algorithms | Graph Theory

An introduction to tree algorithms. This video covers how trees are stored and represented on a computer. Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-t

From playlist Tree Algorithms

Video thumbnail

Tree Graphs - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

Graph Theory: Spanning Trees

This lesson introduces spanning trees and lead to the idea of finding the minimum cost spanning tree. Site: http://mathispower4u.com

From playlist Graph Theory

Video thumbnail

Lecture 18: Gluing Algorithms

MIT 6.849 Geometric Folding Algorithms: Linkages, Origami, Polyhedra, Fall 2012 View the complete course: http://ocw.mit.edu/6-849F12 Instructor: Erik Demaine This lecture begins with how to construct a gluing tree. Combinatorial bounds and algorithms are proved for gluing results, which

From playlist MIT 6.849 Geometric Folding Algorithms, Fall 2012

Video thumbnail

Stanford Lecture: Don Knuth - Twintrees, Baxter Permutations, and Floorplans (2022)

Donald Knuth’s Annual Christmas Tree Lectures are back! 🌲✨ This year Dr. Knuth will present on Twintrees, Baxter Permutations, and Floorplans. Three fascinating concepts, which seem at first to be entirely unrelated to each other, are in fact in one-to-one correspondence, via three beaut

From playlist Donald Knuth Lectures

Video thumbnail

Don Knuth Christmas Lecture 2022

Stanford Lecture: Don Knuth - Twintrees, Baxter Permutations, and Floorplans (2022) Dr. Knuth presents on Twintrees, Baxter Permutations, and Floorplans. Three fascinating concepts, which seem at first to be entirely unrelated to each other, are in fact in one-to-one correspondence, via t

From playlist Donald Knuth Annual Christmas Lectures

Video thumbnail

Make A Combination Lock - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Video thumbnail

[hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight

For slides and more information on the paper, visit https://aisc.ai.science/events/2020-02-26 Discussion lead: Wengong Jin Discussion facilitator(s): Rouzbeh Afrasiabi

From playlist Machine Learning for Scientific Discovery

Video thumbnail

Introduction to Spanning Trees

This video introduces spanning trees. mathispower4u.com

From playlist Graph Theory (Discrete Math)

Video thumbnail

Lecture 10 - Graph Data Structures

This is Lecture 10 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www3.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: https://www.cs.stonybrook.edu/~skiena/373/newlectures/lecture10.pdf More inf

From playlist CSE373 - Analysis of Algorithms 2016 SBU

Video thumbnail

Enabling Rapid COVID-19 Small Molecule Drug Design Through Scalable Deep Learning Generative Models

A Lawrence Livermore National Laboratory team developed an accurate and efficient generative machine learning model to enable COVID-19 researchers to produce novel compounds that could possibly treat the disease. Using Sierra, the world’s third-fastest supercomputer, the team trained the

From playlist Center for Applied Scientific Computing

Video thumbnail

From Data to Dashboard: Make an Interactive Model

Students typically create their portfolios out of simple, clean datasets. These projects are great to learn the basics, but they allow you to circumvent the most essential data science skills. Data on the job requires extensive cleaning, exploration, and feature engineering to become usabl

From playlist Advanced Machine Learning

Related pages

Separatrix (mathematics) | Triangulation (geometry) | Autoencoder | Random variable | Treewidth | Graph (discrete mathematics) | Variable elimination | Marginal distribution | Moral graph | Chordal graph | Belief propagation | Vertex (graph theory) | Cycle (graph theory) | Computation | Clique graph | Algorithm | Kruskal's algorithm