Cargando…
On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem
As a promising research direction in recent decades, active learning allows an oracle to assign labels to typical examples for performance improvement in learning systems. Existing works mainly focus on designing criteria for screening examples of high value to be labeled in a handcrafted manner. In...
Autores principales: | Huang, Honglan, Huang, Jincai, Feng, Yanghe, Zhang, Jiarui, Liu, Zhong, Wang, Qi, Chen, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6583946/ https://www.ncbi.nlm.nih.gov/pubmed/31216289 http://dx.doi.org/10.1371/journal.pone.0217408 |
Ejemplares similares
-
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM
por: Wang, Qi, et al.
Publicado: (2017) -
One shot learning approach for cross spectrum periocular verification
por: Kumari, Punam, et al.
Publicado: (2023) -
Hands-On One-shot Learning with Python
por: Jadon, Shruti
Publicado: (2020) -
Fusion Learning: A One Shot Federated Learning
por: Kasturi, Anirudh, et al.
Publicado: (2020) -
How One-Shot Learning Unfolds in the Brain
por: Weaver, Janelle
Publicado: (2015)