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History
- March 16, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Smita Deb1,
- Sahil Sidheekh2,
- Christopher F. Clements3,
- Narayanan C. Krishnan2,4 and
- Partha S. Dutta1,4
- 1Department of Mathematics, Indian Institute of Technology Ropar, Rupnagar, Punjab 140 001 India
- 2Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab 140 001 India
- 3School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK
- ↵4Corresponding authors: parthasharathi{at}iitrpr.ac.in, ckn{at}iitrpr.ac.in
Posted March 16, 2021.
Machine learning methods trained on simple models can predict critical transitions in complex natural systems
