Category:Ensemble learning

Ensemble learning is a type of Machine learning in computer science, which studies algorithms and architectures that build collections, or ensembles of statistical classifiers that are more accurate than a single classifier.

[edit] 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.

The following 9 pages are in this category, out of 9 total. Updates to this list can occasionally be delayed for a few days.