An Active Learning Approach with Uncertainty, Representativeness, and Diversity

Big data from the Internet of Things may create big challenge for data classification. Most active learning approaches select either uncertain or representative unlabeled instances to query their labels. Although several active learning algorithms have been proposed to combine the two criteria for q...

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Detalles Bibliográficos
Autores principales: He, Tianxu, Zhang, Shukui, Xin, Jie, Zhao, Pengpeng, Wu, Jian, Xian, Xuefeng, Li, Chunhua, Cui, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144157/
https://www.ncbi.nlm.nih.gov/pubmed/25180208
http://dx.doi.org/10.1155/2014/827586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144157/
https://www.ncbi.nlm.nih.gov/pubmed/25180208
http://dx.doi.org/10.1155/2014/827586

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