Book Chapter10.1007/978-94-011-5430-7_15
The bayes inference engine
Kenneth M. Hanson,Gregory S. Cunningham +1 more
- 01 Apr 1996
- pp 125-134
TL;DR: The authors are developing a computer application, called the Bayes Inference Engine, to provide the means to make inferences about models of physical reality within a Bayesian framework that incorporates a new technique of estimating and visualizing the uncertainties in specific aspects of the model.
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Abstract: The authors are developing a computer application, called the Bayes Inference Engine, to provide the means to make inferences about models of physical reality within a Bayesian framework. The construction of complex nonlinear models is achieved by a fully object-oriented design. The models are represented by a data-flow diagram that may be manipulated by the analyst through a graphical programming environment. Maximum a posteriori solutions are achieved using a general, gradient-based optimization algorithm. The application incorporates a new technique of estimating and visualizing the uncertainties in specific aspects of the model.
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Citations
Patent
System and method for protocol adherence
Christopher Donald Johnson,Peter Henry Tu,Piero P. Bonissone,John Michael Lizzi,Kunter Seref Akbay,Ting Yu,Corey Nicholas Bufi,Viswanath Avasarala,Naresh Iyer,Yi Yao,Kedar Anil Patwardhan,Dashan Gao +11 more
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TL;DR: In this paper, an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness is presented.
101
3D tomographic reconstruction using geometrical models
Xavier L. Battle,Gregory S. Cunningham,Kenneth M. Hanson +2 more
- 25 Apr 1997
TL;DR: This work addresses the issue of reconstructing an object of constant interior density in the context of 3D tomography where there is prior knowledge about the unknown shape and explores the direct estimation of the parameters of a chosen geometrical model from a set of radiographic measurements.
Cyber Risk Management for the Internet of Things
Petar Radanliev,Charles De Roure D,Peter Burnap,Eirini Anthi,Uchenna A,La’Treall Maddox,Omar Santos,Mantilla Montalvo R +7 more
- 11 Apr 2019
TL;DR: A comparative empirical analysis is performed of multiple cyber risk assessment approaches, to define a high-level potential target state for company integrating IoT devices and/or services, and a transformation roadmap is used to adapt IoT risk impact assessment with a Goal-Oriented Approach and the Internet of Things Micro Mart model.
23
Kinky tomographic reconstruction
Kenneth M. Hanson,Roger Bilisoly,Gregory S. Cunningham +2 more
- 01 May 1996
TL;DR: The use of a Bayesian approach is demonstrated to set the strength of the smoothness prior for a tomographic reconstruction problem using the Akaike Information Criterion to determine whether to allow a kink in the contour.
Definition of Internet of Things (IoT) Cyber Risk Discussion on a Transformation Roadmap for Standardisation of Regulations Risk Maturity Strategy Design and Impact Assessment
Petar Radanliev,David De Roure,Jason R. C. Nurse,Peter Burnap,Eirini Anthi,Uchenna Ani,La Treall Maddox,Omar Santos,Rafael Mantilla Montalvo +8 more
TL;DR: The transformation roadmap is used to adapt the Goal-Oriented Approach and the IoT Micro Mart model to achieve the company's target state, based on their current state.
17
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