Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Belief Propagation and Survey Propagation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (38)

Linear Regression and Logistic Regression Log in to Mediaspace to watch this video

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Explores data representations, histograms, neural networks, and deep learning concepts.

Non-Convex Optimization: Techniques and Applications Log in to Mediaspace to watch this video

Covers non-convex optimization techniques and their applications in machine learning.

Statistical Learning: Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of statistical learning, covering supervised learning, decision theory, risk minimization, and overfitting.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Deep Learning: Multilayer Perceptron and Training Log in to Mediaspace to watch this video

Covers deep learning fundamentals, focusing on multilayer perceptrons and their training processes.

Gradient Descent: Optimization Techniques Log in to Mediaspace to watch this video

Explores gradient descent, loss functions, and optimization techniques in neural network training.

Machine Learning in Molecular Dynamics Log in to Mediaspace to watch this video

Explores the application of machine learning in molecular dynamics and materials, emphasizing the creation of meaningful features and the importance of generalizability.

Machine Learning Fundamentals Log in to Mediaspace to watch this video

Introduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.

Numerical Analysis: Nonlinear Equations Log in to Mediaspace to watch this video

Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.

Auto-encoder and GANs Log in to Mediaspace to watch this video

Covers auto-encoders for data compression and GANs for data generation.

Robottle: Autonomous Robot Design Log in to Mediaspace to watch this video

Showcases the design process of an autonomous robot for a competition.

Neural Networks: Basics and History Log in to Mediaspace to watch this video

Covers the history and fundamental concepts of neural networks, including the mathematical model of a neuron, gradient descent, and the multilayer perceptron.

Linear Regression: Estimation and Prediction Log in to Mediaspace to watch this video

Covers the basics of linear regression, focusing on estimation and prediction.

Untitled Log in to Mediaspace to watch this video

Segmentation: Theory and Algorithms Log in to Mediaspace to watch this video

Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.

Group Actions: Examples and Applications Log in to Mediaspace to watch this video

Explores examples of group actions on sets, emphasizing the utility of group actions to understand groups.

Fixed points, orbits, and stabilizers Log in to Mediaspace to watch this video

Covers fixed points, orbits, and stabilizers in G-varieties, including properties of closed subgroups and faithful actions.

Page 2 of 2