Results 31 to 40 of about 65,665 (164)
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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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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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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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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Probabilistic Trajectory Prediction with Structural Constraints [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 This work addresses the problem of predicting the motion trajectories of dynamic objects in the environment. Recent advances in predicting motion patterns often rely on machine learning techniques to extrapolate motion patterns from observed trajectories, with no mechanism to directly incorporate known rules.
Weiming Zhi +2 more
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Buildings, 2023 To ensure the safety of buildings, accurate and robust prediction of a reinforced concrete deep beam’s shear capacity is necessary to avoid unpredictable accidents caused by brittle failure.
Mao-Yi Liu, Zheng Li, Hang Zhang
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Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography
CoRR, 2022 7 pages, accepted at ICML 2022 Workshop on Machine Learning for ...
Wolfgang E. Kerzendorf +4 more
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