Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aditi Shenvi"'
Autor:
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Publikováno v:
Nature Machine Intelligence. 5:13-23
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. However, as machine learning studies become more ambitious, and seek to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a495d3108e8f51b48323ec63f38070a2
https://doi.org/10.1038/s42256-022-00596-z
https://doi.org/10.1038/s42256-022-00596-z
Chain event graphs (CEGs) are a recent family of probabilistic graphical models that generalise the popular Bayesian networks (BNs) family. Crucially, unlike BNs, a CEG is able to embed, within its graph and its statistical model, asymmetries exhibit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d39b47e1e441696ebc8813a6f5f97e
http://arxiv.org/abs/2211.11366
http://arxiv.org/abs/2211.11366
Autor:
Aditi Shenvi, Konstantinia Papamichail, James Quartermaine Smith, Henry Wynn, Peter Strong, Xuewen Yu
Publikováno v:
Strong, P, Shenvi, A, Yu, X, Papamichail, K N, Wynn, H P & Smith, J Q 2022, ' Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies ', Journal of the Operational Research Society . https://doi.org/10.1080/01605682.2021.2023673
Decision making in the face of a disaster requires the consideration of several complex factors. In such cases, Bayesian multi-criteria decision analysis provides a framework for decision making. In this paper, we present how to construct a multi-att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1115d27afc764623a6ce3913a0cd3ad5
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030306106
Chain Event Graphs (CEGs) are recent probabilistic graphical modelling tools that have proved successful in modelling scenarios with context-specific independencies. Although the theory underlying CEGs supports appropriate representation of structura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e71ff8c6158c2a9ad04a44546228bc6
https://doi.org/10.1007/978-3-030-30611-3_16
https://doi.org/10.1007/978-3-030-30611-3_16
Autor:
Elizabeth A Edwards, Hope Caton, Jim Lumsden, Carol Rivas, Liz Steed, Yutthana Pirunsarn, Sandra Jumbe, Chris Newby, Aditi Shenvi, Samaresh Mazumdar, Jim Q Smith, Darrel Greenhill, Chris J Griffiths, Robert T Walton
BACKGROUND Gaming techniques are increasingly recognized as effective methods for changing behavior and increasing user engagement with mobile phone apps. The rapid uptake of mobile phone games provides an unprecedented opportunity to reach large num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e497cb92cfeb539d25566cb28b28efa7
https://doi.org/10.2196/preprints.10252
https://doi.org/10.2196/preprints.10252
Autor:
Darrel Greenhill, Samaresh Mazumdar, Elizabeth A. Edwards, Jim Lumsden, Jim Q. Smith, Carol Rivas, Hope Caton, Aditi Shenvi, Yutthana Pirunsarn, Chris Newby, Liz Steed, Robert Walton, Sandra Jumbe, Chris Griffiths
Publikováno v:
JMIR Serious Games
Background: Gaming techniques are increasingly recognized as effective methods for changing behavior and increasing user engagement with mobile phone apps. The rapid uptake of mobile phone games provides an unprecedented opportunity to reach large nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f1ab922eb84bcb5608c59ccac373389
https://pubmed.ncbi.nlm.nih.gov/30497994
https://pubmed.ncbi.nlm.nih.gov/30497994