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pro vyhledávání: '"Cameron Davidson-Pilon"'
Autor:
Vincent Knight, Owen Campbell, Marc Harper, Karol Langner, James Campbell, Thomas Campbell, Alex Carney, Martin Chorley, Cameron Davidson-Pilon, Kristian Glass, Nikoleta Glynatsi, Tomáš Ehrlich, Martin Jones, Georgios Koutsovoulos, Holly Tibble, Jochen Müller, Geraint Palmer, Piotr Petunov, Paul Slavin, Timothy Standen, Luis Visintini, Karl Molden
Publikováno v:
Journal of Open Research Software, Vol 4, Iss 1, Pp e35-e35 (2016)
The Axelrod library is an open source Python package that allows for reproducible game theoretic research into the Iterated Prisoner’s Dilemma. This area of research began in the 1980s but suffers from a lack of documentation and test code. The goa
Externí odkaz:
https://doaj.org/article/b1e80e9581be44399e823853da96297d
Autor:
Cameron Davidson-Pilon
Publikováno v:
Journal of Open Source Software. 4:1317
Autor:
Cameron Davidson-Pilon
Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely c
Autor:
Martin Jones, Karol M. Langner, Luis Visintini, Paul Slavin, Piotr Petunov, Kristian Glass, Jochen Müller, Timothy Standen, Martin Chorley, Karl Molden, Cameron Davidson-Pilon, Vincent A. Knight, James Campbell, Thomas Campbell, Marc Harper, Tomáš Ehrlich, Geraint Palmer, Nikoleta E. Glynatsi, Owen Campbell, Holly Tibble, Georgios Koutsovoulos, Alex Carney
Publikováno v:
Journal of Open Research Software, Vol 4, Iss 1, Pp e35-e35 (2016)
Journal of Open Research Software; Vol 4, No 1 (2016); e35
Journal of Open Research Software; Vol 4, No 1 (2016); e35
The Axelrod library is an open source Python package that allows for reproducible game theoretic research into the Iterated Prisoner’s Dilemma. This area of research began in the 1980s but suffers from a lack of documentation and test code. The goa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f163621f122cffa309c3928f72f3aa45