An information theoretic alternative to model a natural system using observational information alone
By Ashish Sharma, Rajeshwar Mehrotra. 2014
74 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/7b0e27af534e5ac26bd622b869b8ba4f48812f9b
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In Artificial Intelligence
In Molecular Biology
Citations in the corpus
- Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling (2016, methodology): “Linear and Nonlinear Autoregressive Data Sets We utilized the AR1, AR9, TAR1, and TAR2 data sets [Sharma, 2000a; Hejazi and Cai, 2009; Sharma and Mehrotra, 2014; Galelli et al., 2014; Chen et al., 2014a] to examine how each input variable selection method performs in terms of high noise and…”