Lecture

Examples of decision models for Supervised learning

In course

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Description

This lecture presents examples of decision models for supervised learning, including ordinary least squares regression, classification, ranking pairs, and sequence decoding for OCR models. It covers topics such as square loss, mean square risk, 0-1 loss, misclassification error, and target function assignment.

Official source

https://mediaspace.epfl.ch/media/0_iduiyc5h

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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