Voting based extreme learning machine

By Jiuwen Cao, Zhiping Lin, G. Huang, Nan Liu. Information Sciences, 2012

356 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5b350da546b6e436229d45fd043c1342a620b693

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shiji Song
2. Gao Huang
3. G. Huang
4. Keyou You
5. Yudong Zhang
6. Siyuan Lu
7. Shui-hua Wang
8. Jian Wang

In Electrical and Electronic Engineering

1. Shiji Song
2. Gao Huang
3. Keyou You
4. Yudong Zhang
5. Siyuan Lu
6. Jian Wang
7. Shui-hua Wang
8. G. Huang

Citations in the corpus

• A review on extreme learning machine (2021, methodology): “Cao and Lin [11] Voting method was utilized to generate classification results based on a set of ELMs trained by subsets of the training set.”
• Trends in extreme learning machines: A review (2015, methodology): “The V-ELM algorithm (Cao, Lin, Huang and Liu (2012)) The prediction of the testing set.”