Lecture

Boosting: Adaboost Algorithm

In course

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Description

This lecture covers the concept of boosting, focusing on the Adaboost algorithm and forward stagewise additive modeling. It explains the derivation of Adaboost as FSAM on the exponential loss, boosted trees, and interpretations of Adaboost. The lecture also discusses the solutions for B and G, comparing with Adaboost, boosting of trees, and general gradient tree boosting for classification.

Official source

https://mediaspace.epfl.ch/media/0_dmsqnoj5

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Ontological neighbourhood

Information engineering

Machine learning: Decision tree learning

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