Is ensemble learning a subset of meta learning?

Question

I'm studying ensemble learning methods, focusing on random forest and gradient boost. I read this article about this topic and this about meta-learning. It is possible to say that ensemble learning is a subset of meta-learning?

Answer 1

Meta-learning, also known as "learning to learn", is a subset of machine learning It is used to improve the results and performance of a learning algorithm by changing some aspects of the learning algorithm based on experiment results. Meta-learning helps researchers understand which algorithm(s) generate the best/better predictions from datasets.

Meta-learning algorithms use metadata of learning algorithms as input. Then, they make predictions and provide information about the performance of these learning algorithms as output.

From What Is Meta-Learning in Machine Learning?

More generally, meta-models for supervised learning are almost always ensemble learning algorithms, and any ensemble learning algorithm that uses another model to combine the predictions from ensemble members may be referred to as a meta-learning algorithm.