Semi-supervised learning of probabilistic models for ECG segmentation.

Semi-supervised learning of probabilistic models for ECG segmentation.

We present a novel semi-supervised learning algorithm, based upon the EM algorithm for maximum likelihood estimation, which can be used to learn probabilistic models from subjectively labelled data. We demonstrate the method on the task of automated ECG segmentation, with a particular emphasis on th...

Detaylı Bibliyografya
Asıl Yazarlar:	Hughes, N, Roberts, S, Tarassenko, L
Materyal Türü:	Journal article
Dil:	English
Baskı/Yayın Bilgisi:	2004

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