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

Concept

Multivariate kernel density estimation

Related lectures (31)

Dimensionality Reduction: PCA and LDA Log in to Mediaspace to watch this video

Covers dimensionality reduction techniques like PCA and LDA, clustering methods, density estimation, and data representation.

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.

Nonparametric Regression: Kernel-Based Estimation Log in to Mediaspace to watch this video

Covers nonparametric regression using kernel-based estimation techniques to model complex relationships between variables.

Understanding Data Analysis Techniques Log in to Mediaspace to watch this video

Covers data analysis techniques, statistical concepts, and outlier detection methods in depth.

Parametric Signal Models: Markov Chains Log in to Mediaspace to watch this video

Explores parametric signal models, including AR processes and Markov chains, covering synthesis, analysis, and correlation structures.

Transformer Architectures: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture and subquadratic attention mechanisms, focusing on efficient approximations and their applications in machine learning.

Maximum Likelihood Estimation: Density Estimation and Bernoulli Model Log in to Mediaspace to watch this video

Explores maximum likelihood estimation for density and Bernoulli model, including test reliability and disease screening.

Topic Models Log in to Mediaspace to watch this video

Introduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.

Basic Principles of Point Estimation Log in to Mediaspace to watch this video

Explores the Method of Moments, Bias-Variance tradeoff, Consistency, Plug-In Principle, and Likelihood Principle in point estimation.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Introduction to Machine Learning: Basics and Examples Log in to Mediaspace to watch this video

Introduces the basics of machine learning, covering supervised learning, reinforcement learning, and dimension reduction.