Semi-supervised learning by search of optimal target vector
نویسندگان
چکیده
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed method for dimensionality reduction and develop a semi-supervised regression and classification algorithm for transductive inference. 2007 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 29 شماره
صفحات -
تاریخ انتشار 2008