Zobrazeno 1 - 10
of 18
pro vyhledávání: '"McCarthy, Andrew"'
Autor:
Smith, Jim, Preen, Richard J., McCarthy, Andrew, Crespi-Boixader, Alba, Liley, James, Rogers, Simon
We present AI-SDC, an integrated suite of open source Python tools to facilitate Statistical Disclosure Control (SDC) of Machine Learning (ML) models trained on confidential data prior to public release. AI-SDC combines (i) a SafeModel package that e
Externí odkaz:
http://arxiv.org/abs/2212.01233
Autor:
Jefferson, Emily, Liley, James, Malone, Maeve, Reel, Smarti, Crespi-Boixader, Alba, Kerasidou, Xaroula, Tava, Francesco, McCarthy, Andrew, Preen, Richard, Blanco-Justicia, Alberto, Mansouri-Benssassi, Esma, Domingo-Ferrer, Josep, Beggs, Jillian, Chuter, Antony, Cole, Christian, Ritchie, Felix, Daly, Angela, Rogers, Simon, Smith, Jim
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure and transparent research whilst protecting data confidentiality. There
Externí odkaz:
http://arxiv.org/abs/2211.01656
In the era of "big data", it is becoming more of a challenge to not only build state-of-the-art predictive models, but also gain an understanding of what's really going on in the data. For example, it is often of interest to know which, if any, of th
Externí odkaz:
http://arxiv.org/abs/1805.04755
Autor:
Kirby, Graham, Dearle, Alan, McCarthy, Andrew, Morrison, Ron, Mullen, Kevin, Yang, Yanyan, Connor, Richard, Welen, Paula, Wilson, Andy
This document describes the Gloss software currently implemented. The description of the Gloss demonstrator for multi-surface interaction can be found in D17. The ongoing integration activity for the work described in D17 and D8 constitutes our devel
Externí odkaz:
http://arxiv.org/abs/1007.0107
Autor:
Zirintsis, Evangelos, Kirby, Graham, Dearle, Alan, Allen, Ben, MacInnis, Rob, McCarthy, Andrew, Morrison, Ron, Nixon, Paddy, Jamieson, Andrew, Nicholson, Chris, Harris, Steven
This document describes the Gloss infrastructure supporting implementation of location-aware services. The document is in two parts. The first part describes software architecture for the smart space. As described in D8, a local architecture provides
Externí odkaz:
http://arxiv.org/abs/1006.5941
In this paper we describe an architecture which: Permits the deployment and execution of components in appropriate geographical locations. Provides security mechanisms that prevent misuse of the architecture. Supports a programming model that is fami
Externí odkaz:
http://arxiv.org/abs/1006.5940
Autor:
Dearle, Alan, Kirby, Graham, Morrison, Ron, McCarthy, Andrew, Mullen, Kevin, Yang, Yanyan, Connor, Richard, Welen, Paula, Wilson, Andy
A GLObal Smart Space (GLOSS) provides support for interaction amongst people, artefacts and places while taking account of both context and movement on a global scale. Crucial to the definition of a GLOSS is the provision of a set of location-aware s
Externí odkaz:
http://arxiv.org/abs/1006.4827
We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such as co
Externí odkaz:
http://arxiv.org/abs/1006.4730
We propose a middleware framework for deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects suc
Externí odkaz:
http://arxiv.org/abs/1006.4733
We propose a framework for deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such as compon
Externí odkaz:
http://arxiv.org/abs/1006.4572