A New Random Forest Algorithm Based on Learning Automata
The goal of aggregating the base classifiers is to achieve an aggregated classifier that has a higher resolution than individual classifiers. Random forest is one of the types of ensemble learning methods that have been considered more than other ensemble learning methods due to its simple structure...
Main Authors: | Mohammad Savargiv, Behrooz Masoumi, Mohammad Reza Keyvanpour |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2021/5572781 |
Similar Items
-
A new approach for data visualization problem
by: MohammadReza Keyvanpour, et al.
Published: (2015-11-01) -
Proposing Innovative Genetic Algorithms Model to Solve the Problem of the Professors' Educational Planning Considering Students' Opinions
by: Laleh Asgari, et al.
Published: (2017-09-01) -
On the Effect of Topology on Learning and Generalization in Random Automata Networks
by: Goudarzi, Alireza
Published: (2011) -
Query Learning Algorithm for Residual Symbolic Finite Automata
by: Kaizaburo Chubachi, et al.
Published: (2019-09-01) -
A new method for detecting P300 signals by using deep learning: Hyperparameter tuning in high-dimensional space by minimizing nonconvex error function
by: Seyed Vahab Shojaedini, et al.
Published: (2018-01-01)