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Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant.

, , , и . TAAI, стр. 1-6. IEEE, (2019)

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Shuji Kimura

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Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks., , и . IJCNN, стр. 1-6. IEEE, (2013)Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data., , и . BIBE, стр. 98-103. IEEE, (2018)Genetic network inference as a series of discrimination tasks., , и . Bioinform., 25 (7): 918-925 (2009)Inference of genetic networks using random forests: Assigning different weights for gene expression data., , и . J. Bioinform. Comput. Biol., 17 (4): 1950015:1-1950015:21 (2019)Inference of Genetic Networks using a Reduced NGnet Model., , , , , и . IJCNN, стр. 932-937. IEEE, (2007)Inference of S-system models of genetic networks using a genetic local search., , и . IEEE Congress on Evolutionary Computation, стр. 631-638. IEEE, (2003)Inference of genetic networks using neural network models., , , , и . Congress on Evolutionary Computation, стр. 1738-1745. IEEE, (2005)Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests., , , и . SSCI, стр. 1579-1586. IEEE, (2023)Genetic algorithms using low-discrepancy sequences., и . GECCO, стр. 1341-1346. ACM, (2005)Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data., , и . CIBCB, стр. 1-8. IEEE, (2022)