A Novel Multiple Instance Learning Method Based on Extreme Learning Machine

Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the classification of bags comprising unlabeled insta...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jie, Cai, Liangjian, Peng, Jinzhu, Jia, Yuheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332973/
https://www.ncbi.nlm.nih.gov/pubmed/25705220
http://dx.doi.org/10.1155/2015/405890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332973/
https://www.ncbi.nlm.nih.gov/pubmed/25705220
http://dx.doi.org/10.1155/2015/405890

Ejemplares similares