A scheme for high level data classification using random walk and network measures-Reference-Cited by-同舟云学术

A scheme for high level data classification using random walk and network measures

Author:

Cupertino Thiago Henrique,Guimarães Carneiro Murillo,Zheng Qiusheng,Zhang Junbao,Zhao Liang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference71 articles.

1. Introduction to machine learning;Alpaydin,2009

2. Path similarity skeleton graph matching;Bai;Pattern Analysis and Machine Intelligence, IEEE Transactions on,2008

3. Regularization and semi-supervised learning on large graphs;Belkin,2004

4. On manifold regularization;Belkin,2005

5. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin;Journal of Machine Learning Research,2006

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. High-Level Classification for EEG Analysis;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Application of Random Walks in Data Processing;Highlights in Science, Engineering and Technology;2023-02-10