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Lecture
Gaussian Mixture Regression: Theory and Applications
Description
This lecture covers Gaussian mixture regression, starting with learning the joint distribution and computing the regressive signal. It explores the impact of different covariance matrices on the regressive curve and discusses overfitting with multiple Gauss functions.
Official source
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