Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Peter A Whigham"'
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e76076 (2013)
Modelling metapopulation dynamics is a potentially very powerful tool for conservation biologists. In recent years, scientists have broadened the range of variables incorporated into metapopulation modelling from using almost exclusively habitat patc
Externí odkaz:
https://doaj.org/article/1ab839a4af924e25a2e3e0060613aaf7
Autor:
Eduardo de Rezende Francisco, José Luiz Kugler, Soong Moon Kang, Ricardo Silva, Peter Alexander Whigham
Publikováno v:
RAE: Revista de Administração de Empresas, Vol 59, Iss 5, Pp 375-378 (2019)
The ability of organizations to produce, collect, manage, analyze, and transform data has increased rapidly over the past decade (Delen & Zolbanin, 2018). This has resulted in significant new challenges regarding how data can be leveraged for improvi
Externí odkaz:
https://doaj.org/article/394441a6c691484bb99beea136aca963
Publikováno v:
Evolutionary Computation. :1-20
Reproducibility is important for having confidence in evolutionary machine learning algorithms. Although the focus of reproducibility is usually to recreate an aggregate prediction error score using fixed random seeds, this is not sufficient. Firstly
Publikováno v:
BMC Medical Research Methodology, Vol 16, Iss 1, Pp 1-10 (2016)
Abstract Background Geographic perspectives of disease and the human condition often involve point-based observations and questions of clustering or dispersion within a spatial context. These problems involve a finite set of point observations and ar
Externí odkaz:
https://doaj.org/article/3e8ca2e1d77947afac348a31221246fa
Publikováno v:
Scientific Reports. 12
Modelling a complex system of autonomous individuals moving through space and time essentially entails understanding the (heterogeneous) spatiotemporal context, interactions with other individuals, their internal states and making any underlying caus
Publikováno v:
IEEE Transactions on Evolutionary Computation. 24:1164-1176
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. Splitti
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:1607-1640
Software effort estimation models are typically developed based on an underlying assumption that all data points are equally relevant to the prediction of effort for future projects. The dynamic nature of several aspects of the software engineering p
Publikováno v:
Scientific reports. 12(1)
Modelling a complex system of autonomous individuals moving through space and time essentially entails understanding the (heterogeneous) spatiotemporal context, interactions with other individuals, their internal states and making any underlying caus
Publikováno v:
Animal Conservation. 23:434-442
Autor:
José Luiz Kugler, Soong Moon Kang, Peter A. Whigham, Ricardo Silva, Eduardo de Rezende Francisco
Publikováno v:
RAE: Revista de Administração de Empresas, Vol 59, Iss 5, Pp 375-378 (2019)
The ability of organizations to produce, collect, manage, analyze, and transform data has increased rapidly over the past decade (Delen & Zolbanin, 2018). This has resulted in significant new challenges regarding how data can be leveraged for improvi