Privileged information for data clustering

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چکیده

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Privileged Information for Data Clustering

Many machine learning algorithms assume that all input samples are independently and identically distributed from some common distribution on either the input space X, in the case of unsupervised learning, or the input and output space X x Y in the case of supervised and semi-supervised learning. In the last number of years the relaxation of this assumption has been explored and the importance ...

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ژورنال

عنوان ژورنال: Information Sciences

سال: 2012

ISSN: 0020-0255

DOI: 10.1016/j.ins.2011.04.025