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Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
Corrigendum to "Cluster, classify, regress: A general method for learning discontinuous functions [1 ]"
| 1. | Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA |
| 2. | Fusion Energy Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA |
| 3. | Department of Mathematics, University of Manchester, Manchester, M13 4PL, UK |
We as authors of paper [
References:
| [1] |
David E. Bernholdt, Mark R. Cianciosa, David L. Green, Jin M. Park, Kody J. H. Law and Cl ement Etienam,
Cluster, classify, regress: A general method for learning discontinuous functions, Foundations of Data Science, 1 (2019), 491-506.
doi: 10.3934/fods.2019020. |
show all references
References:
| [1] |
David E. Bernholdt, Mark R. Cianciosa, David L. Green, Jin M. Park, Kody J. H. Law and Cl ement Etienam,
Cluster, classify, regress: A general method for learning discontinuous functions, Foundations of Data Science, 1 (2019), 491-506.
doi: 10.3934/fods.2019020. |
| [1] |
David E. Bernholdt, Mark R. Cianciosa, David L. Green, Jin M. Park, Kody J. H. Law, Clement Etienam. Cluster, classify, regress: A general method for learning discontinuous functions. Foundations of Data Science, 2019, 1 (4) : 491-506. doi: 10.3934/fods.2019020 |
| [2] |
Suresh P. Sethi, Houmin Yan, H. Y. Zhang. Corrigendum. Journal of Industrial & Management Optimization, 2005, 1 (4) : 588-588. doi: 10.3934/jimo.2005.1.588 |
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