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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...

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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

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