Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation
نویسندگان
چکیده
منابع مشابه
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view algorithms, which reduce the amount of labeled data required for learning, rely on the assumptions that the views are compatible and uncorrelated (i.e., every example is identically labeled by the target concepts in eac...
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ژورنال
عنوان ژورنال: Advances in Electrical and Computer Engineering
سال: 2016
ISSN: 1582-7445,1844-7600
DOI: 10.4316/aece.2016.02015