Lecture
Relevance Vector Machine: Addressing SVM Shortcomings
Related lectures (32)
Sexing Guppy Fish: Bayesian Inference and Decision Rules
Covers the sexing of guppy fish using Bayesian inference and decision rules.
Maximum Likelihood Inference
Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
Bayesian Inference: Optimal Decisions
Explores Bayesian inference for optimal decision-making in hypothesis testing scenarios.
Exponential Family: Properties and Estimation
Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.
Topic Models: Understanding Latent Structures
Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Topic Models: Latent Dirichlet Allocation
Introduces Latent Dirichlet Allocation for topic modeling in documents, discussing its process, applications, and limitations.
Bayesian Inference: Gaussian Prior for Mean
Discusses Bayesian inference for the mean of a Gaussian distribution with known variance, covering posterior mean, variance, and MAP estimator.
Linear Regression: Regularization
Covers linear regression, regularization, and probabilistic models in generating labels.
Interval Estimation: Method of Moments
Covers the method of moments for estimating parameters and constructing confidence intervals based on empirical moments matching distribution moments.