File Exchange

image thumbnail

RHLP_Matlab_v1

version 1.0.0 (31.3 KB) by Faicel Chamroukhi
RHLP_Matlab_v1

4 Downloads

Updated 06 Dec 2018

View License on GitHub

User-freindly and flexible algorithm for time series segmentation with a Regression model with a Hidden Logistic Process (RHLP).

If you are using this code, please cite the following papers:

@article{chamroukhi_et_al_NN2009, Address = {Oxford, UK, UK}, Author = {Chamroukhi, F. and Sam'{e}, A. and Govaert, G. and Aknin, P.}, Date-Added = {2014-10-22 20:08:41 +0000}, Date-Modified = {2014-10-22 20:08:41 +0000}, Journal = {Neural Networks}, Number = {5-6}, Pages = {593--602}, Publisher = {Elsevier Science Ltd.}, Title = {Time series modeling by a regression approach based on a latent process}, Volume = {22}, Year = {2009}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/Chamroukhi_Neural_Networks_2009.pdf} }

@INPROCEEDINGS{Chamroukhi-IJCNN-2009, AUTHOR = {Chamroukhi, F. and Sam'e, A. and Govaert, G. and Aknin, P.}, TITLE = {A regression model with a hidden logistic process for feature extraction from time series}, BOOKTITLE = {International Joint Conference on Neural Networks (IJCNN)}, YEAR = {2009}, month = {June}, pages = {489--496}, Address = {Atlanta, GA}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/chamroukhi_ijcnn2009.pdf} }

@article{Chamroukhi-FDA-2018, Journal = {}, Author = {Faicel Chamroukhi and Hien D. Nguyen}, Volume = {}, Title = {Model-Based Clustering and Classification of Functional Data}, Year = {2018}, eprint ={arXiv:1803.00276v2}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/MBCC-FDA.pdf} }

by Faicel Chamroukhi (since 2008)

Cite As

Faicel Chamroukhi (2018). RHLP_Matlab_v1 (https://www.github.com/fchamroukhi/RHLP_Matlab_v1), GitHub. Retrieved .

@article{chamroukhi_et_al_NN2009, Address = {Oxford, UK, UK}, Author = {Chamroukhi, F. and Sam'{e}, A. and Govaert, G. and Aknin, P.}, Date-Added = {2014-10-22 20:08:41 +0000}, Date-Modified = {2014-10-22 20:08:41 +0000}, Journal = {Neural Networks}, Number = {5-6}, Pages = {593--602}, Publisher = {Elsevier Science Ltd.}, Title = {Time series modeling by a regression approach based on a latent process}, Volume = {22}, Year = {2009}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/Chamroukhi_Neural_Networks_2009.pdf} } @INPROCEEDINGS{Chamroukhi-IJCNN-2009, AUTHOR = {Chamroukhi, F. and Sam'e, A. and Govaert, G. and Aknin, P.}, TITLE = {A regression model with a hidden logistic process for feature extraction from time series}, BOOKTITLE = {International Joint Conference on Neural Networks (IJCNN)}, YEAR = {2009}, month = {June}, pages = {489--496}, Address = {Atlanta, GA}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/chamroukhi_ijcnn2009.pdf} } @article{Chamroukhi-FDA-2018, Journal = {}, Author = {Faicel Chamroukhi and Hien D. Nguyen}, Volume = {}, Title = {Model-Based Clustering and Classification of Functional Data}, Year = {2018}, eprint ={arXiv:1803.00276v2}, url = {https://chamroukhi.users.lmno.cnrs.fr/papers/MBCC-FDA.pdf} }

Comments and Ratings (0)

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Discover Live Editor

Create scripts with code, output, and formatted text in a single executable document.


Learn About Live Editor