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...

書誌詳細
主要な著者:	Hughes, N, Roberts, S, Tarassenko, L
フォーマット:	Journal article
言語:	English
出版事項:	2004

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