Maximum Likelihood Estimation
A statistical method used for deriving loss functions, where the goal is to find model parameters that maximize the probability of the model observing the given data.
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Videos Mentioning Maximum Likelihood Estimation
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF Localization
Stanford Online
A method used for estimating parameters, mentioned in the context of estimating landmark correspondences.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance
Stanford Online
A statistical method used for deriving loss functions, where the goal is to find model parameters that maximize the probability of the model observing the given data.
Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis
Stanford Online
The method used to estimate parameters for Gaussian Discriminant Analysis, particularly highlighting that estimation can be done quickly without extensive learning.