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Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.742008 International Conference on BioM ...
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Yingnan Ma, Yi Zhao, Youhua Fan, Hong Hu, Xiujun Zhang, "Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 460-463, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.74,
author = {Yingnan Ma and Yi Zhao and Youhua Fan and Hong Hu and Xiujun Zhang},
title = {Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {460-463},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.74},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks
SN - 978-0-7695-3118-2
SP460
EP463
A1 - Yingnan Ma,
A1 - Yi Zhao,
A1 - Youhua Fan,
A1 - Hong Hu,
A1 - Xiujun Zhang,
PY - 2008
KW - Human Pulse Data
KW - MDL-optimal
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
In this paper, we describe an information theoretic criterion, the method of minimum description length (MDL), to determine optimal neural networks to predict the human pulse data as well as non-stationary Lorenz data. Such optimal models which minimize the description length of the data both generalize well and accurately capture the dynamics of the original data. It demonstrates the potential utility of our MDL- optimal model in biomedical time series modeling.
Index Terms:
Human Pulse Data, MDL-optimal
Citation:
Yingnan Ma, Yi Zhao, Youhua Fan, Hong Hu, Xiujun Zhang, "Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks," bmei, vol. 2, pp.460-463, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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