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Single-cell transcriptomics uncover conserved molecular mechanisms and functional diversification in multilayered epithelia

Merle C, Huyghe M, Kimber E, Faraldo MM, Pantalacci S, Semon M, Fre S, Journot RP.   +7 more
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Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition

IEEE Transactions on Evolutionary Computation, 2020
An error function can be used to select between candidate models but it does not provide a thorough understanding of the behavior of a model. A greater understanding of an algorithm can be obtained by performing a bias-variance decomposition. Splitting the error into bias and variance is effective for understanding a deterministic algorithm such as $
Caitlin A. Owen, Grant Dick, Peter A. Whigham   +2 more
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Variance decomposition in the estimation of genetic variance with selected data

Journal of Animal Science, 1992
Estimation of genetic variance in populations under selection involves assumptions on base animals. Base animals are often considered unselected and it also has been proposed to treat selected base animals as fixed. The consequences of assumptions on base animals in the estimation of genetic variance in selected populations are not fully understood ...
van der Werf, J.H.J., Thompson, R.
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A variance decomposition approach to the analysis of genetic algorithms

Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013
Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary biology and evolutionary computation (EC). It has long been realized that heritable variation is crucial to both the response to selection and the success of genetic algorithms.
Paixão, Tiago; Barton, Nicholas H
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Effects of litter species and genetic diversity on plant litter decomposition in coastal wetland

Ecological Indicators, 2022
Franziska Eller
exaly  

A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem

Knowledge-Based Systems, 2021
Lei Zhu, Jian Lin, Yang-Yuan Li
exaly  

Genetic testing in prostate cancer management: Considerations informing primary care

Ca-A Cancer Journal for Clinicians, 2022
Veda N Giri, Todd M Morgan, David Morris
exaly  

Improved genetic algorithm based on time windows decomposition for solving resource-constrained project scheduling problem

Automation in Construction, 2022
Zhenyuan Liu
exaly  

Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression

Proceedings of the Genetic and Evolutionary Computation Conference
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang   +4 more
openaire   +1 more source