Iterative Nearest Neighborhood Oversampling in Semisupervised Learning from Imbalanced Data
نویسندگان
چکیده
منابع مشابه
Iterative Nearest Neighborhood Oversampling in Semisupervised Learning from Imbalanced Data
Transductive graph-based semisupervised learning methods usually build an undirected graph utilizing both labeled and unlabeled samples as vertices. Those methods propagate label information of labeled samples to neighbors through their edges in order to get the predicted labels of unlabeled samples. Most popular semi-supervised learning approaches are sensitive to initial label distribution wh...
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ژورنال
عنوان ژورنال: The Scientific World Journal
سال: 2013
ISSN: 1537-744X
DOI: 10.1155/2013/875450