Lecture

Regression: Interactive Lecture

Description

This lecture covers linear regression, weighted regression, and locally weighted regression, explaining how to find optimal parameters and introducing closed-form solutions. It also delves into support vector regression, handling noise, and the application of SVR in mapping eyes to gaze.

Official source

https://mediaspace.epfl.ch/media/0_5a44wglq

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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