Results 51 to 60 of about 1,044,082 (362)
Frontiers in Computational Neuroscience, 2015 The majority of distinct sensory and motor events occur as temporally ordered sequences with rich probabilistic structure. Sequences can be characterized by the probability of transitioning from the current state to upcoming states (forward probability),
Kristofer E Bouchard +2 more
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Symmetries and time operators [PDF]
, 2010 All covariant time operators with normalized probability distribution are derived. Symmetry criteria are invoked to arrive at a unique expression for a given Hamiltonian.
Hegerfeldt, G. C., Muga, J. G.
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Structural reliability analysis based on a limited directional important sampling simulation
Nihon Kikai Gakkai ronbunshu, 2015 This study describes an efficient estimation method of the structural failure probability based on a limited directional importance sampling simulation.
Shoya OKUDA, Masaaki YONEZAWA
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Hyper Normalisation and Conditioning for Discrete Probability Distributions [PDF]
Logical Methods in Computer Science, 2017 Normalisation in probability theory turns a subdistribution into a proper distribution. It is a partial operation, since it is undefined for the zero subdistribution. This partiality makes it hard to reason equationally about normalisation. A novel description of normalisation is given as a mathematically well-behaved total function. The output of this
Jacobs, B., Jacobs, B.
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Diance yu yibiaoAiming at the scenario of strong uncertainty on both sides of source and load in active distribution network, this paper proposes a probabilistic power flow calculation method of active distribution network based on Copula theory and equal probability ...
JIA Yudong +5 more
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Gaussian Covariance Faithful Markov Trees
Journal of Probability and Statistics, 2011 Graphical models are useful for characterizing conditional and marginal independence structures in high-dimensional distributions. An important class of graphical models is covariance graph models, where the nodes of a graph represent different ...
Dhafer Malouche, Bala Rajaratnam
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Energies, 2023 Predicting the spatial distribution of braided fluvial facies reservoirs is of paramount significance for oil and gas exploration and development. Given that seismic materials enjoy an advantage in dense spatial sampling, many methods have been proposed ...
Qiangqiang Kang +4 more
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Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
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Conditional Diffusion Model for Urban Morphology Prediction
Remote SensingPredicting urban morphology based on local attributes is an important issue in urban science research. The deep generative models represented by generative adversarial network (GAN) models have achieved impressive results in this area.
Tiandong Shi +6 more
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