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Machine Learning
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Springer-Verlag
Homepage URLs
http://www.springer.com/computer/artificial/journal/10994 |
http://www.springer.com/west/home/computer/artificial?SGWID=4-147-70-35726603-0 |
https://link.springer.com/journal/10994 |
Example Publications
Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation
Tilmann Gneiting, Peter Vogel
2021
|
Machine Learning
doi:10.1007/s10994-021-06115-2
Stream-based active learning for sliding windows under the influence of verification latency
Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick
2021
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Machine Learning
doi:10.1007/s10994-021-06099-z
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond Veldhuis, Mykola Pechenizkiy
2021
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Machine Learning
doi:10.1007/s10994-021-06063-x
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony Bagnall
2021
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Machine Learning
doi:10.1007/s10994-021-06057-9
Guest editorial: special issue on reinforcement learning for real life
Yuxi Li, Alborz Geramifard, Lihong Li, Csaba Szepesvari, Tao Wang
2021
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Machine Learning
doi:10.1007/s10994-021-06041-3