Results 61 to 70 of about 359,739 (172)
Journal of Applied Research in Geographical SciencesThe structure of deep moist convection can be influenced by various factors, including wind shear, available potential energy of convection, relative humidity, and vertical distribution of these variables. Among these factors, wind shear plays a more significant role in the creation of convection.
Zahra Ghassabi +2 more
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Annals of Glaciology, 2020 The impact of April sea-ice thickness (SIT) initialization on the predictability of September sea-ice extent (SIE) is investigated based on a series of perfect model ensemble experiments using the MIROC5.2 climate model.
Jun Ono, Yoshiki Komuro, Hiroaki Tatebe
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Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceWhile fictitious play is guaranteed to converge to Nash equilibrium in certain game classes, such as two-player zero-sum games, it is not guaranteed to converge in non-zero-sum and multiplayer games.
Sam Ganzfried
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Description and Evaluation of the CNRM‐Cerfacs Climate Prediction System (C3PS)
Journal of Advances in Modeling Earth SystemsThe CNRM‐Cerfacs Climate Prediction System (C3PS) is a new research modeling tool for performing climate reanalyzes and seasonal‐to‐multiannual predictions for a wide array of Earth system variables.
E. Sanchez‐Gomez +11 more
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Вестник Российской академии наук, 2019 This article describes the formation of the chemical electron paramagnetic resonance (EPR) spectroscopy institute established by Academician Vladislav V. Voevodsky (1917–1967) along with the history of the development of the instrumentation basis for this field of science in the Union of Soviet Socialist Republics (USSR).
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Nonparametric Weight Initialization of Neural Networks via Integral Representation [PDF]
, 2014 A new initialization method for hidden parameters in a neural network is proposed. Derived from the integral representation of the neural network, a nonparametric probability distribution of hidden parameters is introduced.
Murata, Noboru, Sonoda, Sho
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Advanced ScienceDeveloping novel memristive systems aims to implement key principles of biological neuron assemblies – plasticity, adaptivity, and self‐organization – into artificial devices for parallel, energy‐efficient computing.
Daniil Nikitin +19 more
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Multiscale Convolutional Mask Network for Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDeep learning has gained popularity in hyperspectral unmixing (HU) applications recently due to its powerful learning and data-fitting capabilities. As an unmixing baseline network, the autoencoder (AE) framework performs well in HU by automatically ...
Mingming Xu +4 more
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Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
, 2019 We demonstrate that in residual neural networks (ResNets) dynamical isometry is achievable irrespectively of the activation function used. We do that by deriving, with the help of Free Probability and Random Matrix Theories, a universal formula for the ...
Jastrzębski, Stanisław +4 more
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Investigation of fast initialization of spacecraft bubble memory systems [PDF]
Bubble domain technology offers significant improvement in reliability and functionality for spacecraft onboard memory applications. In considering potential memory systems organizations, minimization of power in high capacity bubble memory systems ...
Hayes, P. J. +2 more
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