Ensemble averages, Poisson processes, and microstates [PDF]
Physical Review D, 2021 36 pages, 2 ...
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No ensemble averaging below the black hole threshold
Journal of High Energy Physics, 2022 In the AdS/CFT correspondence, amplitudes associated to connected bulk manifolds with disconnected boundaries have presented a longstanding mystery. A possible interpretation is that they reflect the effects of averaging over an ensemble of boundary ...
Jean-Marc Schlenker, Edward Witten
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Atmosphere, 2022 The 2-m temperature is one of the important meteorological elements, and improving the accuracy of medium- and long-term forecasts of the 2-m temperature is important.
Yingying Hu, Qiguang Wang, Xueshun Shen
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Machine learning-driven modeling of soil plasticity and strength parameters with interpretability insights [PDF]
E3S Web of ConferencesThis study proposes advanced stacking ensemble machine learning approaches to predict soil Liquidity Index (LI) and Undrained Shear Strength (Su). Over 1,550 LI and 950 Su measurements from global research were employed.
Spagnoli Giovanni +3 more
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Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion
Forecasting, 2022 The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the
Pieter Cawood, Terence Van Zyl
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On an Average over the Gaussian Unitary Ensemble [PDF]
International Mathematics Research Notices, 2009 28 pages, 3 ...
Mezzadri, F, Mo, MY
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Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques [PDF]
Geoscientific Model Development, 2016 A 3-D hybrid ice-sheet model is applied to the last deglacial retreat of the West Antarctic Ice Sheet over the last ∼ 20 000 yr. A large ensemble of 625 model runs is used to calibrate the model to modern and geologic data, including reconstructed ...
D. Pollard +4 more
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Ensemble average theory of gravity [PDF]
Physical Review D, 2016 We put forward the idea that all the theoretically consistent models of gravity have contributions to the observed gravity interaction. In this formulation, each model comes with its own Euclidean path-integral weight where general relativity (GR) has automatically the maximum weight in high-curvature regions.
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An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study
IEEE Access, 2020 The predominant application of positron emission tomography (PET) in the field of oncology and radiotherapy and the significance of medical imaging research have led to an urgent need for effective approaches to PET volume analysis and the development of
Mhd Saeed Sharif +5 more
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Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle [PDF]
Earth System Dynamics, 2023 Climate projections from global circulation models (GCMs), part of the Coupled Model Intercomparison Project 6 (CMIP6), are often employed to study the impact of future climate on ecosystems.
L. Teckentrup +13 more
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