Results 21 to 30 of about 2,032,077 (205)
Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose
Sensors, 2016 In the application of electronic noses (E-noses), probabilistic prediction is a good way to estimate how confident we are about our prediction. In this work, a homemade E-nose system embedded with 16 metal-oxide semi-conductive gas sensors was used to ...
You Wang +5 more
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The development of mathematical model of process of information system monitoring [PDF]
Омский научный вестник, 2018 In our time, the development of information networks requires high availability, performance and fault tolerance. To achieve the best performance of these parameters there is a need in monitoring them. The article proposes the most relevant states in
N. R. Storozhenko, A. I. Goleva
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A probabilistic view on the August 2005 floods in the upper Rhine catchment [PDF]
, 2008 Appropriate precautions in the case of flood occurrence often require long lead times (several days) in hydrological forecasting. This in turn implies large uncertainties that are mainly inherited from the meteorological precipitation forecast.
Ewen, Tracy +21 more
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Temporal aspects of probabilistic predictions [PDF]
Bulletin of the Psychonomic Society, 1987 Subjects who considered themselves to be experts made probability assessments regarding the outcomes of 108 soccer games. The mean number of correct predictions was less than that obtained by a linear model using type of game (home vs. outside games) and teams’ rankings as predictors.
Keren, G.B., Wagenaar, W.A.
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Earthquake prediction: probabilistic aspect [PDF]
Geophysical Journal International, 2008 21 pages, 1 ...
Molchan, G., Keilis-Borok, V.
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Probabilistic Prediction Model Using Bayesian Inference in Climate Field: A Systematic Literature
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Wildfires occur repeatedly every year and have a negative impact on natural ecosystems. Anticipation of wildfires is very necessary, therefore a prediction model is needed that can produce predictions with a good level of accuracy.
Evi Ardiyani +4 more
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Prediction error quantification through probabilistic scaling [PDF]
, 2022 In this letter, 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
Fabrizio Dabbene +3 more
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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
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Probabilistic modeling and visualization for bankruptcy prediction [PDF]
Applied Soft Computing, 2017 Display Omitted Application of the Gaussian process classification framework in the bankruptcy prediction problem.A complete graphical visualization technique for model performance comparison.An averaged probabilistic confusion matrix generated for a probabilistic view.An in-depth empirical study of a real-world bankruptcy datasets with different class
Francisco Antunes +2 more
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PSYCHOLOGICAL MECHANISMS OF COGNITIVE SUBJECTIVITY DEVELOPMENT
Russian Journal of Education and Psychology, 2023 Relevance. The problem of the development of a personality subsystem associated with cognitive subjectivity, as well as the formation of a future officer as a subject of social and cognitive action, as a meaningful ability for self-determination and ...
Aleksey A. Dyachkov
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