When reading about SVMs (e.g. on the German Wikipedia) there is a sentence like "an svm is a large-margin classifier).

Are there other large margin classifiers than SVMs?


Yes, one famous example are boosting techniques like Adaboost. It uses small classifiers to create a big one.

Here you can find more info about margin classifiers.

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