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.