A new ensemble learning method based on learning automata

• Published in: Journal of ambient intelligence and humanized computing Vol. 13; no. 7; pp. 3467 - 3482
• Main Authors: Savargiv, Mohammad, Masoumi, Behrooz, Keyvanpour, Mohammad Reza
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Coefficients; Computational Intelligence; Data mining; Engineering; Ensemble learning; Labels; Machine learning; Original Research; Robotics and Automation; User Interfaces and Human Computer Interaction; Learning automata; Ensemble learning; Data mining; Reinforcement learning

Improving the performance of machine learning algorithms has been always the topic of interest in data mining. The ensemble learning is one of the machine learning methods that, according to the subject literature, it yields better performance than the single base learner in the accuracy parameter....