Research ArticleCOMPUTER SCIENCE
Optimal structure and parameter learning of Ising models
- View ORCID ProfileAndrey Y. Lokhov1,2,*,
- View ORCID ProfileMarc Vuffray2,
- Sidhant Misra3 and
- View ORCID ProfileMichael Chertkov1,2,4
- 1Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
- 2Theoretical Division T-4, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
- 3Theoretical Division T-5, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
- 4Skolkovo Institute of Science and Technology, 143026 Moscow, Russia.
- ↵*Corresponding author. Email: lokhov{at}lanl.gov
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Science Advances 16 Mar 2018:
Vol. 4, no. 3, e1700791
DOI: 10.1126/sciadv.1700791
Vol. 4, no. 3, e1700791
DOI: 10.1126/sciadv.1700791
Andrey Y. Lokhov
1Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
2Theoretical Division T-4, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Marc Vuffray
2Theoretical Division T-4, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Sidhant Misra
3Theoretical Division T-5, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Michael Chertkov
1Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
2Theoretical Division T-4, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
4Skolkovo Institute of Science and Technology, 143026 Moscow, Russia.