Application of classifier based on DRNG algorithm

Bing Li; Jikui Wang

doi:10.1117/12.2658835

23 November 2022 Application of classifier based on DRNG algorithm

Bing Li, Jikui Wang

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124541Y (2022) https://doi.org/10.1117/12.2658835
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

With the advent of the era of big data, semi-supervised learning algorithms are becoming more and more popular and widely used. Self-training is the most widely used semi-supervised learning framework. The performance of the classifier obtained by self-training mainly depends on the selection of high-confidence samples during the self-training process. To study the effect of the base classifier on the performance of the DRNG algorithm, we use KNN, decision tree, and SVM base classifier to conduct experiments on four medical images. The experimental results show on the most datasets, the classification performance of the DRNG algorithm on the KNN (K=1) base classifier is higher than the other three base classifiers. The DRNG algorithm matches the KNN(K=1) base classifier better.

Citation Download Citation

Bing Li and Jikui Wang "Application of classifier based on DRNG algorithm", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124541Y (23 November 2022); https://doi.org/10.1117/12.2658835

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