Results 21 to 30 of about 389,689 (283)
Sensors, 2018 Management of the vertical long-term deflection of a high-speed railway bridge is a crucial factor to guarantee traffic safety and passenger comfort.
Jaebeom Lee +2 more
doaj +1 more source
Probabilistic data flow analysis: a linear equational approach [PDF]
, 2013 Speculative optimisation relies on the estimation of the probabilities that certain properties of the control flow are fulfilled. Concrete or estimated branch probabilities can be used for searching and constructing advantageous speculative and ...
Di Pierro, Alessandra, Wiklicky, Herbert
core +3 more sources
Prediction Error Quantification Through Probabilistic Scaling
IEEE Control Systems Letters, 2022 In this paper, we address the probabilistic error quantification of a general class of prediction methods. We consider a given prediction model and show how to obtain, through a sample-based approach, a probabilistic upper bound on the absolute value of the prediction error.
Victor Mirasierra +3 more
openaire +2 more sources
Energies, 2021 In this study, we propose a novel workflow to predict the production of existing and new multi-wells. To perform reliable production forecasting on heterogeneous shale formations, the features of these formations must be analyzed by classifying the ...
Hyo-Jin Shin, Jong-Se Lim, Il-Sik Jang
doaj +1 more source
Probabilistically robust conformal prediction
, 2023 Conformal prediction (CP) is a framework to quantify uncertainty of machine learning classifiers including deep neural networks. Given a testing example and a trained classifier, CP produces a prediction set of candidate labels with a user-specified coverage (i.e., true class label is contained with high probability). Almost all the existing work on CP
Ghosh, Subhankar +5 more
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Domain prediction with probabilistic directional context [PDF]
Bioinformatics, 2016 AbstractMotivationProtein domain prediction is one of the most powerful approaches for sequence-based function prediction. While domain instances are typically predicted independently of each other, newer approaches have demonstrated improved performance by rewarding domain pairs that frequently co-occur within sequences.
Ochoa, Alejandro, Singh, Mona
openaire +2 more sources
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach [PDF]
, 2017 This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver registration for image-pairs works by patch-wise prediction of a deformation model based directly on image appearance.
Kwitt, Roland +3 more
core +3 more sources
On the Testing of Ground--Motion Prediction Equations against Small--Magnitude Data [PDF]
, 2012 Ground-motion prediction equations (GMPE) are essential in probabilistic seismic hazard studies for estimating the ground motions generated by the seismic sources.
Beauval, Céline +6 more
core +4 more sources
Atmosphere, 2018 The effective prediction of storm track (ST) is greatly beneficial for analyzing the development and anomalies of mid-latitude weather systems. For the non-stationarity, nonlinearity, and uncertainty of ST intensity index (STII), a new probabilistic ...
Ming Li, Kefeng Liu
doaj +1 more source
Integrating and Ranking Uncertain Scientific Data [PDF]
, 2008 Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly lead to spurious connections and incorrect results.
Detwiler, Landon T +4 more
core +6 more sources