Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Greenbury, Sam"'
Publikováno v:
International Conference on AI and the Digital Economy (CADE 2023), 2023, pp. 31-40
The sharing of public key information is central to the digital credential security model, but the existing Web PKI with its opaque Certification Authorities and synthetic attestations serves a very different purpose. We propose a new approach to dec
Externí odkaz:
http://arxiv.org/abs/2305.08533
Autor:
Abroshan, Mahed, Burkhart, Michael, Giles, Oscar, Greenbury, Sam, Kourtzi, Zoe, Roberts, Jack, van der Schaar, Mihaela, Steyn, Jannetta S, Wilson, Alan, Yong, May
Machine learning techniques are effective for building predictive models because they identify patterns in large datasets. Development of a model for complex real-life problems often stop at the point of publication, proof of concept or when made acc
Externí odkaz:
http://arxiv.org/abs/2303.01513
Autor:
Peach, Robert L., Greenbury, Sam F., Johnston, Iain G., Yaliraki, Sophia N., Lefevre, David, Barahona, Mauricio
The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and show how data-driven analysis of temporal sequences of task completio
Externí odkaz:
http://arxiv.org/abs/2007.07003
The explosion of data throughout the biomedical sciences provides unprecedented opportunities to learn about the dynamics of evolution and disease progression, but harnessing these large and diverse datasets remains challenging. Here, we describe a h
Externí odkaz:
http://arxiv.org/abs/1912.00762
Publikováno v:
PLoS Comput Biol 12(3): e1004773. (2016)
Mutational neighbourhoods in genotype-phenotype (GP) maps are widely believed to be more likely to share characteristics than expected from random chance. Such genetic correlations should, as John Maynard Smith famously pointed out, strongly influenc
Externí odkaz:
http://arxiv.org/abs/1505.07821
Publikováno v:
In Cell Systems 22 January 2020 10(1):39-51
The mapping between biological genotypes and phenotypes is central to the study of biological evolution. Here we introduce a rich, intuitive, and biologically realistic genotype-phenotype (GP) map, that serves as a model of self-assembling biological
Externí odkaz:
http://arxiv.org/abs/1311.0399
Publikováno v:
J. Theor. Biol. 267, 48-61 (2010)
We investigate how scale-free (SF) and Erdos-Renyi (ER) topologies affect the interplay between evolvability and robustness of model gene regulatory networks with Boolean threshold dynamics. In agreement with Oikonomou and Cluzel (2006) we find that
Externí odkaz:
http://arxiv.org/abs/1005.4342
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.