Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction
The paper proposes an incremental Gene Expression Programming classifier. Its main features include using two-level ensemble consisting of base classifiers in form of genes and the upper-level classifier in the form of metagene. The approach enables us to deal with big datasets through controlling c...
Saved in:
Main Authors: | Joanna Jedrzejowicz, Piotr Jedrzejowicz |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/6794067 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incremental Fuzzy Clustering Based on Feature Reduction
by: Yongli Liu, et al.
Published: (2022-01-01) -
An Incremental Kernel Density Estimator for Data Stream Computation
by: Yulin He, et al.
Published: (2020-01-01) -
Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction
by: Peng Yu, et al.
Published: (2025-01-01) -
A robust scheme for securing relational data incremental watermarking
by: Maikel Lázaro Pérez Gort, et al.
Published: (2025-06-01) -
Facial expression recognition based on adaptation of the classifier to videos of the user
by: E.N. Churaev, et al.
Published: (2023-10-01)