Tri-Training Algorithm for Adaptive Nearest Neighbor Density Editing and Cross Entropy Evaluation

Tri-training expands the training set by adding pseudo-labels to unlabeled data, which effectively improves the generalization ability of the classifier, but it is easy to mislabel unlabeled data into training noise, which damages the learning efficiency of the classifier, and the explicit decision...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Jia, Luo, Yuhang, Xiao, Renbin, Wu, Runxiu, Fan, Tanghuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047771/
https://www.ncbi.nlm.nih.gov/pubmed/36981368
http://dx.doi.org/10.3390/e25030480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047771/
https://www.ncbi.nlm.nih.gov/pubmed/36981368
http://dx.doi.org/10.3390/e25030480

Ejemplares similares