Results of Type-a.

<div><p>ELM (Extreme learning machine) has drawn great attention due its high training speed and outstanding generalization performance. To solve the problem that the long training time of kernel ELM auto-encoder and the difficult setting of the weight of kernel function in the existing...

Full description

Saved in:

Bibliographic Details
Main Author:	Liang Yixuan (20721371) (author)
Published:	2025
Subjects:	Neuroscience Ecology Sociology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> elm realistic datasets verify outstanding generalization performance minimum risk criterion long training time high training speed extreme learning machine reduced kernel auto kernel elm auto expectation kernel elm expectation kernel auto kernel elm models kernel elm based encoder </ p kernel models kernel function kernel cost sensitive decision reference points realized based randomly selecting random mapping posterior probability input data experimental results difficult setting
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Results of Type-a.

Similar Items