Ensemble learning is a machine learning paradigm where multiple learners are trained to solve the same problem. In contrast to ordinary machine learning approaches which try to learn one hypothesis from training data, ensemble methods try to construct a set of hypotheses and combine them to use.
CITATION STYLE
Zhou, Z.-H. (2009). Ensemble Learning. In Encyclopedia of Biometrics (pp. 270–273). Springer US. https://doi.org/10.1007/978-0-387-73003-5_293
Mendeley helps you to discover research relevant for your work.