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...
Үндсэн зохиолчид: | Hughes, N, Roberts, S, Tarassenko, L |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
2004
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Exploring probabilistic models for semi-supervised learning
-н: Wang, J
Хэвлэсэн: (2023) -
Markov models for automated ECG interval analysis
-н: Hughes, N, зэрэг
Хэвлэсэн: (2004) -
Probabilistic models for multi-view semi-supervised learning and coding
-н: Christoudias, C. Mario (Christos Mario)
Хэвлэсэн: (2010) -
Semi-supervised active transfer learning for fetal ECG arrhythmia detection
-н: Mohammad Reza Mohebbian, зэрэг
Хэвлэсэн: (2023-01-01) -
Supervised ECG wave segmentation using convolutional LSTM
-н: Aman Malali, зэрэг
Хэвлэсэн: (2020-09-01)