Category:Ensemble learning
From Infogalactic: the planetary knowledge core
Ensemble learning is a type of machine learning that studies algorithms and architectures that build collections, or ensembles, of statistical classifiers that are more accurate than a single classifier.
External links
- Ensemble Based Systems in Decision Making, R. Polikar, IEEE Circuits and Systems Magazine, vol.6, no.3, pp. 21-45, 2006. A tutorial article on ensemble systems including pseudocode, block diagrams and implementation issues for AdaBoost and other ensemble learning algorithms.
Pages in category "Ensemble learning"
The following 7 pages are in this category, out of 7 total.
