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...
Những tác giả chính: | Hughes, N, Roberts, S, Tarassenko, L |
---|---|
Định dạng: | Journal article |
Ngôn ngữ: | English |
Được phát hành: |
2004
|
Những quyển sách tương tự
-
Exploring probabilistic models for semi-supervised learning
Bằng: Wang, J
Được phát hành: (2023) -
Markov models for automated ECG interval analysis
Bằng: Hughes, N, et al.
Được phát hành: (2004) -
Probabilistic models for multi-view semi-supervised learning and coding
Bằng: Christoudias, C. Mario (Christos Mario)
Được phát hành: (2010) -
Semi-supervised active transfer learning for fetal ECG arrhythmia detection
Bằng: Mohammad Reza Mohebbian, et al.
Được phát hành: (2023-01-01) -
Supervised ECG wave segmentation using convolutional LSTM
Bằng: Aman Malali, et al.
Được phát hành: (2020-09-01)