There are. It&#x27;s all about variance reduction. See the Breiman&#x27;s paper on Bagging. There&#x27;s nothing special about random forest though (apart from the fact that a decision tree is a good learner, because of the nonlinearities for example), you can you ensemble learning with any &quot;basic&quot; learner.