FAU Lecture Notes in Pattern Recognition

Can the “Wisdom of the Crowd” also improve Machine Learning?

The Concept of Adaboost

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome back to Pattern Recognition. Today we want to look into a particular class of classification algorithms and these are boosting algorithms that try to unite multiple weak classifiers into a strong one. Today we want to look into Adaboost.

Image under CC BY 4.0 from the Pattern Recognition Lecture.

So let’s have a look at the idea behind Adaboost. Boosting generally is trying to build a more powerful classifier from weak classifiers and you could say it is one of the most powerful learning techniques introduced in the last 20…