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(2010-12-11)Network modeling can be approached using either discriminative or probabilistic models. In the task of link prediction a probabilistic model will give a probability for the existence of a link; while in some scenarios ...
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The use of predictive likelihood to estimate the distribution of extreme bridge traffic load effect (Elsevier, 2010-03)To assess the safety of an existing bridge, the loads to which it may be subject in its lifetime are required. Statistical analysis is used to extrapolate a sample of load effect values from the simulation period to the ...
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(American Institute of Physics (AIP), 2010-03-10)A deeper understanding of the processes, which occur during free radical photopolymerization, is necessary in order to develop a fully comprehensive model, which represents their behavior during exposure. One of these ...
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(Cambridge Journals, 2010-06)This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests they are ideally suited to this task. Comparisons are made with traditional CPI-based and regression-based ...
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(2010-02)Dublin, Ireland is scheduled to constructing its first metro in 2010, with a pair of tunnels connecting the city center to the airport. This study presents first-order predictions of the anticipated soil settlement and ...
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(Central Bank of Ireland, 2006-05)If asset returns are predictable, then rational expectations and the arithmetic of budget constraints together imply that these predictable changes in returns should affect current consumption. This paper presents a new ...
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(NRC Research Press, 2005-02)Design and assessment of highway bridge structures requires accurate prediction of the maximum load effects, i.e. shear forces and bending moments etc., which may be expected during the proposed or remaining life of the ...
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(Elsevier, 2003-04)A method is described for determining both the rate of heat generation and the time-dependent thermal properties of concrete so that the temperature development in a concrete section can be modelled. The method uses measured ...
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SimpleFlow : enhancing gestural interaction with gesture prediction, abbreviation and autocompletion (Springer, 2011-09)Gestural interfaces are now a familiar mode of user interaction and gestural input is an important part of the way that users can interact with such interfaces. However, entering gestures accurately and efficiently can be ...
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(Elsevier, 2006-10)Statistical spatial repeatability (SSR) is an extension to the well known concept of spatial repeatability. SSR states that the mean of many patterns of dynamic tyre force applied to a pavement surface is similar for a ...