scholar.google.com › citations
Abstract: We present a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning approach to genetic ...
Abstract : This paper presents a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning approach ...
Abstract : This paper presents a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning approach ...
PDF | We present a boosting genetic algorithm for classification rule discovery. The method is based on the iterative rule learning approach to genetic.
Oct 7, 2022 · The basic idea of AdaBoost is to increase the weights of misclassified samples and reduce the weights of correctly classified samples. When ...
Apr 23, 2023 · The improved genetic-XGBoost is compared with several well-known parameter optimization algorithms and state-of-the-art classification ...
Jan 5, 2022 · Boosting means arranging a set of weak classifiers in a sequence in which each weak classifier is the best choice for a classifier to rectify ...
People also ask
What is improved genetic algorithm?
How does a boosting algorithm work?
What is genetic algorithm optimization?
How effective are genetic algorithms?
The proposed system finds an elegant way of boosting a bunch of classifiers ... In this study, a better search method for boosting using the ... mances, genetic ...
Oct 8, 2021 · The proposed approach combines an improved genetic algorithm (IGA) with the ... The XGBoost is a scalable tree boosting system that has been.
[19] proposed an improved AdaBoost algorithm to enhance the classification accuracy for unbalanced data. An improved AdaBoost double-layer learner algorithm ...