Analysing Semi-Supervised ConvNet Model Performance with Computation Processes

Analysing Semi-Supervised ConvNet Model Performance with Computation Processes

The rapid development of semi-supervised machine learning (SSML) algorithms has shown enhanced versatility, but pinpointing the primary influencing factors remains a challenge. Historically, deep neural networks (DNNs) have been used to underpin these algorithms, resulting in improved classification...

Full description

Bibliographic Details
Main Authors: Elie Neghawi, Yan Liu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
deep learning
explainable artificial intelligence
convolutional neural networks (CNN)
semi-supervised machine learning
Online Access:https://www.mdpi.com/2504-4990/5/4/89

Internet

https://www.mdpi.com/2504-4990/5/4/89

Similar Items