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

Home

Lecture

Data Classification: Gaussian Mixture Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (33)

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.

Modeling Neurobiological Signals: Markov Chains Log in to Mediaspace to watch this video

Explores modeling neurobiological signals with Markov Chains, focusing on parameter estimation and data classification.

Spin Glasses and Bayesian Estimation Log in to Mediaspace to watch this video

Covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely.

Parametric Signal Models: Matlab Practice Log in to Mediaspace to watch this video

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Maximum Likelihood Estimation: Econometrics Log in to Mediaspace to watch this video

Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.

Topic Models: Understanding Latent Structures Log in to Mediaspace to watch this video

Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.

Gaussian Mixture Models & Noisy Signals Log in to Mediaspace to watch this video

Explores Gaussian mixture models and denoising noisy signals using a probabilistic approach.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.

Statistical Theory: Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.

Unsupervised Learning: Dimensionality Reduction and Clustering Log in to Mediaspace to watch this video

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Snowpack Applications and Tutorial Log in to Mediaspace to watch this video

Explores the SNOWPACK model for snow physics and hydrology applications, including vapor transport, hydrology, and climate change.

Stochastic Simulation: Latin Hypercube Sampling and Quasi Monte Carlo Log in to Mediaspace to watch this video

Covers Latin Hypercube Sampling and Quasi Monte Carlo methods for stochastic simulation, explaining the goal of stratification and generating independent permutations.

LabVIEW: Display and DAQ Log in to Mediaspace to watch this video

Covers LabVIEW programming for data acquisition and display, including LabVIEW sound and visualization.

Page 2 of 2