Cargando…
A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks
The efficiency and cognitive limitations of manual sample labeling result in a large number of unlabeled training samples in practical applications. Making full use of both labeled and unlabeled samples is the key to solving the semi-supervised problem. However, as a supervised algorithm, the stacke...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528325/ https://www.ncbi.nlm.nih.gov/pubmed/37761573 http://dx.doi.org/10.3390/e25091274 |