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On the Gaussian Law of Errors in the Theory of Additive Functions [PDF]
Paul Erdős, Mark Kac
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Responsible Gaussian Model: Matrix-Based Approximation of Gaussian Mixture Model
Mechanisms of deep learning are often viewed as a unclear structure and are difficult to interpret or control precisely using mathematical or engineering principles.
Wataru Obayashi +2 more
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Classifying Exoplanets with a Gaussian Mixture Model
Recently, Odrzywolek and Rafelski have found three distinct categories of exoplanets, when they are classified based on density. We first carry out a similar classification of exoplanets according to their density using the Gaussian Mixture Model ...
Soham Kulkarni, Shantanu Desai
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Influence of Ground Motion Non-Gaussianity on Seismic Performance of Buildings
The non-Gaussian feature of seismic ground motion has been reported in some works. However, there remains a lack of research on the influence of the ground motion non-Gaussianity on the seismic performance of buildings, which motivates this study.
Xingliang Ma, Zhen Liu
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On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration
Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian.
Fei Xu, Chuanri Li, Tongmin Jiang
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On the capacity of channels with Gaussian and non-Gaussian noise
Summary: We evaluate the information capacity of channels for which the noise process is a Gaussian measure on a quasi-complete locally convex space. The coding capacity is calculated in this setting and for time-continuous Gaussian channels using the information capacity result.
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On an expansion of the remainder in the Gaussian quadrature formula [PDF]
J. V. Uspensky
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In this chapter we review the present status of the Gaussianity studies of the CMB anisotropies, including physical effects producing non-Gaussianity, methods to test it and observational constraints.
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