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Active Learning of Multi-class Classification Models from Ordered Class Sets

In this paper, we study the problem of learning multi-class classification models from a limited set of labeled examples obtained from human annotator. We propose a new machine learning framework that learns multi-class classification models from ordered class sets the annotator may use to express n...

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Detalhes bibliográficos
Publicado no:Proc AAAI Conf Artif Intell
Main Authors: Xue, Yanbing, Hauskrecht, Milos
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6867686/
https://ncbi.nlm.nih.gov/pubmed/31750011
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