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Page 1
Gaussian Process Surrogate Models for the CMA Evolution Strategy.
Evol Comput. 2019 Winter;27(4):665-697. doi: 10.1162/evco_a_00244. Epub 2018 Dec 12.
Evol Comput. 2019.
PMID: 30540493
Optimization of catalysts using specific, description-based genetic algorithms.
Holena M, Cukic T, Rodemerck U, Linke D.
Holena M, et al.
J Chem Inf Model. 2008 Feb;48(2):274-82. doi: 10.1021/ci700218p. Epub 2008 Feb 7.
J Chem Inf Model. 2008.
PMID: 18254615
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Piecewise-linear neural networks and their relationship to rule extraction from data.
Holena M.
Holena M.
Neural Comput. 2006 Nov;18(11):2813-53. doi: 10.1162/neco.2006.18.11.2813.
Neural Comput. 2006.
PMID: 16999580
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Efficient discovery of nonlinear dependencies in a combinatorial catalyst data set.
Cawse JN, Baerns M, Holena M.
Cawse JN, et al. Among authors: holena m.
J Chem Inf Comput Sci. 2004 Jan-Feb;44(1):143-6. doi: 10.1021/ci034171+.
J Chem Inf Comput Sci. 2004.
PMID: 14741020
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