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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Proc AAAI Conf Artif Intell
Egile Nagusiak: Xue, Yanbing, Hauskrecht, Milos
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2019
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6867686/
https://ncbi.nlm.nih.gov/pubmed/31750011
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