Results 241 to 250 of about 389,689 (283)

Probabilistic respiratory motion prediction

2010 International Conference of Medical Image Analysis and Clinical Application, 2010
For the radiotherapy, the tumor inside thorax or abdomen keeps varying with respiration motion. Current technologies, e.g., respiratory gating and beam tracking, face great challenges in predicting the respiratory tumor motion. Whereas respiratory motion is changeful, traditional prediction model such as Linear Model, Kalman Filter, and so on, can not ...
null Shoujun Zhou, null Qubo Zheng, null Hongliang Li, null Yueqian Zhou, null Yuan Hong   +4 more
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Probabilistic property prediction

Engineering Fracture Mechanics, 2007
Uncertainty must be characterized accurately for engineering applications because it arises from a number of sources each of which are exacerbated as the complexity increases. Having limited data also intensifies concerns about the uncertainty. Historically the design of structural components for high reliability applications has required an extensive ...
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Calibrating experts’ probabilistic assessments for improved probabilistic predictions

Safety Science, 2019
Abstract Expert judgement is routinely required to inform critically important decisions. While expert judgement can be remarkably useful when data are absent, it can be easily influenced by contextual biases which can lead to poor judgements and subsequently poor decisions.
Hanea, A.M. (author), Nane, G.F. (author)   +1 more
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Probabilistic Performance Prediction

2011
In modern multimedia systems, multiple applications execute concurrently. While traditionally a mobile phone had to support only a handful of applications like communicating with the base station, sending and receiving short messages, and encoding and decoding voice; modern high-end mobile devices also act as music and video player, camera, gps, mobile
Akash Kumar, Henk Corporaal, Bart Mesman, Yajun Ha   +3 more
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Ideal probabilistic earthquake prediction

Tectonophysics, 1989
Abstract The state-of-the-art in earthquake prediction can be displayed graphically, and compared with the ideal, in terms of the estimated probability of earthquake occurrence in the next unit of time, as a function of time before the earthquake.
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Probabilistically Constrained Generalized Predictive Control

IFAC Proceedings Volumes, 2000
Abstract Robust control under uncertainty is desired in almost all control engineering applications. In this paper, a new algorithm, probabilistically constrained generalized predictive control (PCGPC), is proposed to deal with the uncertainties of system disturbances.
Pu Li, Moritz Wendt, Günter Wozny
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Predictability in Probabilistic Discrete Event Systems

2016
Predictability is a key property allowing one to expect in advance the occurrence of a fault in a system based on its observed events. Existing works give a binary answer to the question of knowing whether a system is predictable or not. In this paper, we consider discrete event systems where probabilities of the transitions are available.
Nouioua, Farid, Dague, Philippe, Ye, Lina   +2 more
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Improving Probabilistic Streamflow Predictions

2017
David McInerney's presentation from MODSIM 2017 on heteroscedastic residual error modelling of daily streamflow.
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Probabilistic Prediction: Some Experimental Results

Journal of the American Statistical Association, 1971
Abstract This article concerns a study in which personal probability assessments regarding the outcomes of football games were obtained. The results reported here, which include a detailed investigation of the assessments, an evaluation of the assessments in an inferential context and in a decision-theoretic context, and a discussion of the performance
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On Semi-Probabilistic universal prediction

2013 IEEE Information Theory Workshop (ITW), 2013
We discuss two scenarios of universal prediction, as well as some recent advances in the study of minimax regret and algorithmic development. We then propose an intermediate scenario, the Semi-Probabilistic Setting, and make progress towards understanding the associated minimax regret.
Alexander Rakhlin, Karthik Sridharan
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