Results 11 to 20 of about 7,863,885 (216)
Nonlinear optimization algorithm using monotonically increasing quantization resolution
We propose a quantized gradient search algorithm that can achieve global optimization by monotonically reducing the quantization step with respect to time when quantization is composed of integer or fixed-point fractional values applied to an ...
Jinwuk Seok, Jeong-Si Kim
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Fast Hankel Transforms Algorithm Based on Kernel Function Interpolation with Exponential Functions [PDF]
The Pravin method for Hankel transforms is based on the decomposition of kernel function with exponential function. The defect of such method is the difficulty in its parameters determination and lack of adaptability to kernel function especially using ...
Huaiqing Zhang, Yu Chen, Xin Nie
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A New Lifetime Parametric Model for the Survival and Relief Times with Copulas and Properties
In this article, we introduce a new generalization of the Exponentiated Exponential distribution. Various structural mathematical properties are derived. Numerical analysis for mean, variance, skewness and kurtosis and the dispersion index are performed.
Wahid A. M. Shehata +3 more
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This paper is concerned with the asymptotic behavior of a viscoelastic wave equation involving distributed delay, logarithmic nonlinearity and dynamic Wentzell boundary conditions.
Dandan Guo
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Reflected entropy and Markov gap in noninertial frames [PDF]
We explore the reflected entropy and the Markov gap between two modes of a free fermionic field as observed by accelerating observers. This is done for both bipartite system which is described by Bell state and tripartite systems which are represented by
Jaydeep Kumar Basak +3 more
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This study introduces a unique flexible family of discrete probability distributions for modeling extreme count and zero-inflated count data with different failure rates.
Walid Emam +5 more
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In this work, a new discrete distribution which includes the discrete Burr-Hatke distribution is defined and studied. Relevant statistical properties are derived.
Haitham Mosad Yousof +3 more
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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks [PDF]
The classical bias-variance trade-off predicts that bias decreases and variance increase with model complexity, leading to a U-shaped risk curve. Recent work calls this into question for neural networks and other over-parameterized models, for which it ...
Zi-Tong Yang +4 more
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Approximation for maximizing monotone non-decreasing set functions with a greedy method [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zengfu Wang +3 more
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On renormalization group flows in four dimensions [PDF]
A bstractWe discuss some general aspects of renormalization group flows in four dimensions. Every such flow can be reinterpreted in terms of a spontaneously broken conformal symmetry.
Z. Komargodski, A. Schwimmer
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