When semi-supervised learning meets ensemble learning
نویسندگان
چکیده
منابع مشابه
When Semi-supervised Learning Meets Ensemble Learning
Semi-supervised learning and ensemble learning are two important machine learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; the latter attempts to achieve strong generalization by using multiple learners. Although both paradigms have achieved great success during the past decade, they were almost developed separately. In this paper, we advocat...
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ژورنال
عنوان ژورنال: Frontiers of Electrical and Electronic Engineering in China
سال: 2011
ISSN: 1673-3460,1673-3584
DOI: 10.1007/s11460-011-0126-2