Results 21 to 30 of about 56,733 (259)
Implementing Gene Expression Programming in the Parallel Environment for Big Datasets’ Classification [PDF]
Vietnam Journal of Computer Science, 2019 The paper investigates a Gene Expression Programming (GEP)-based ensemble classifier constructed using the stacked generalization concept. The classifier has been implemented with a view to enable parallel processing with the use of Spark and SWIM — an ...
Joanna Jȩdrzejowicz +2 more
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An algorithm evaluation for discovering classification rules with gene expression programming
International Journal of Computational Intelligence Systems, 2016 In recent years, evolutionary algorithms have been used for classification tasks. However, only a limited number of comparisons exist between classification genetic rule-based systems and gene expression programming rule-based systems.
Alain Guerrero-Enamorado +3 more
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Intrauterine Hypoxia and Epigenetic Programming in Lung Development and Disease
Biomedicines, 2021 Clinically, intrauterine hypoxia is the foremost cause of perinatal morbidity and developmental plasticity in the fetus and newborn infant. Under hypoxia, deviations occur in the lung cell epigenome.
Yajie Tong +5 more
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Using Ontologies to Express Prior Knowledge for Genetic Programming [PDF]
, 2019 Ontologies are useful for modeling domains and can be used to capture expert knowledge about a system. Genetic programming can be used to identify statistical relationships or models from data. Combining expert knowledge as well as statistical rules identified solely from data is necessary in application domains where data is scarce and a large body of
Stefan Prieschl +2 more
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Prediction of daily suspended sediment load using the Genetic Expression Programming and Artificial Neural Network models [PDF]
Environmental Resources Research, 2022 Because of the quantitative and qualitative problems of Daily Suspended Sediment Load (SSL) data with direct measurement, it is important to use methods for predicting it in watersheds.
Adele Alijanpour Shalmani +2 more
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A First Attempt at Constructing Genetic Programming Expressions for EEG Classification [PDF]
, 2005 In BCI (Brain Computer Interface) research, the classification of EEG signals is a domain where raw data has to undergo some preprocessing, so that the right attributes for classification are obtained. Several transformational techniques have been used for this purpose: Principal Component Analysis, the Adaptive Autoregressive Model, FFT or Wavelet ...
César Estébanez +3 more
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STUDY OF SOLUTION REPRESENTATION LANGUAGE INFLUENCE ON EFFICIENCY OF INTEGER SEQUENCES PREDICTION [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Methods based on genetic programming for the problem solution of integer sequences extrapolation are the subjects for study in the paper. In order to check the hypothesis about the influence of language expression of program representation on the ...
A. S. Potapov +2 more
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Limits to expression in genetic programming: lattice-aggregate modeling [PDF]
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003 This paper describes a general theoretical model of size and shape evolution in genetic programming. The proposed model incorporates a mechanism that is analogous to ballistic accretion in physics. The model indicates a four-region partition of GP search space. It further suggests that two of these regions are not searchable by GP.
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Landslide Susceptibility Mapping using Genetic Expression Programming
IOP Conference Series: Earth and Environmental Science, 2021 Abstract The increasing demand for land use and the mismanagement of lands have caused the increase of landslides around the world. It is important to recognize the landslide characteristics and the determining factors that influence this phenomenon in order to mitigate the adverse economic and environmental impacts.
Maryamsadat Hosseini +2 more
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Engineered ScienceBitumen rheological properties significantly influence pavement performance in terms of resistance to rutting and cracking. Various approaches, such as polymer modification and the incorporation of nanomaterials, have been employed to improve bitumen ...
Sandra Matarneh +4 more
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