Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces

Author(s):  
Xolisile O. Thusini ◽  
Cornelius J. F. Reyneke ◽  
Jonathan Aellen ◽  
Andreas Forster ◽  
Jean-Rassaire Fouefack ◽  
...  
2010 ◽  
Author(s):  
Marjolijn L. Antheunis ◽  
Patti M. Valkenburg ◽  
Jochen Peter

2020 ◽  
Vol 45 (2) ◽  
pp. 125-155
Author(s):  
Vadim Romanuke

AbstractA problem of reducing interval uncertainty is considered by an approach of cutting off equal parts from the left and right. The interval contains admissible values of an observed object’s parameter. The object’s parameter cannot be measured directly or deductively computed, so it is estimated by expert judgments. Terms of observations are short, and the object’s statistical data are poor. Thus an algorithm of flexibly reducing interval uncertainty is designed via adjusting the parameter by expert procedures and allowing to control cutting off. While the parameter is adjusted forward, the interval becomes progressively narrowed after every next expert procedure. The narrowing is performed via division-by-q dichotomization cutting off the q−1-th parts from the left and right. If the current parameter’s value falls outside of the interval, forward adjustment is canceled. Then backward adjustment is executed, where one of the endpoints is moved backwards. Adjustment is not executed when the current parameter’s value enclosed within the interval is simultaneously too close to both left and right endpoints. If the value is “trapped” like that for a definite number of times in succession, the early stop fires.


2021 ◽  
pp. 002224292110308
Author(s):  
Stephan Ludwig ◽  
Dennis Herhausen ◽  
Dhruv Grewal ◽  
Liliana Bove ◽  
Sabine Benoit ◽  
...  

The proliferating gig economy relies on online freelance marketplaces, which support relatively anonymous interactions by text-based messages. Informational asymmetries thus arise that can lead to exchange uncertainties between buyers and freelancers. Conventional marketing thought recommends reducing such uncertainty. However, uncertainty reduction and uncertainty management theories indicate that buyers and freelancers might benefit more from balancing, rather than reducing, uncertainty, such as by strategically adhering to or deviating from common communication principles. With dyadic analyses of calls for bids and bids from a leading online freelance marketplace, this study reveals that buyers attract more bids from freelancers when they provide moderate degrees of task information and concreteness, avoid sharing personal information, and limit the affective intensity of their communication. Freelancers’ bid success and price premiums increase when they mimic the degree of task information and affective intensity exhibited by buyers. However, mimicking a lack of personal information and concreteness reduces freelancers’ success, so freelancers should always be more concrete and offer more personal information than buyers do. These contingent perspectives offer insights into buyer–seller communication in two-sided online marketplaces; they clarify that despite, or sometimes due to, communication uncertainty, both sides can achieve success in the online gig economy.


Author(s):  
Meng Li ◽  
Sheng Shen ◽  
Vahid Barzegar ◽  
Mohammadkazem Sadoughi ◽  
Chao Hu ◽  
...  

Technometrics ◽  
2021 ◽  
pp. 1-29
Author(s):  
Rémi Stroh ◽  
Julien Bect ◽  
Séverine Demeyer ◽  
Nicolas Fischer ◽  
Damien Marquis ◽  
...  

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