You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
SeFT as a classification model for POTS should be included in PyPOTS.
@InProceedings{pmlr-v119-horn20a,
title = {Set Functions for Time Series},
author = {Horn, Max and Moor, Michael and Bock, Christian and Rieck, Bastian and Borgwardt, Karsten},
booktitle = {Proceedings of the 37th International Conference on Machine Learning},
pages = {4353--4363},
year = {2020},
editor = {Hal Daumé III and Aarti Singh},
volume = {119},
series = {Proceedings of Machine Learning Research},
month = {13--18 Jul},
publisher = {PMLR},
}
2. Check open-source status
The model implementation is publicly available
3. Provide useful information for the implementation
1. Model description
SeFT as a classification model for POTS should be included in PyPOTS.
2. Check open-source status
3. Provide useful information for the implementation
https://github.com/BorgwardtLab/Set_Functions_for_Time_Series
The text was updated successfully, but these errors were encountered: