Results 31 to 40 of about 58,601 (260)
Eta-invariant of elliptic parameter-dependent boundary-value problems
Современная математика: Фундаментальные направления, 2023 In this paper, we study the eta-invariant of elliptic parameter-dependent boundary value problems and its main properties. Using Melrose’s approach, we de ne the eta-invariant as a regularization of the winding number of the family.
K. N. Zhuikov, A. Yu. Savin
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Optimal regularization with two interdependent regularization parameters
Inverse Problems, 2007 An ill-posed operator equation (possibly nonlinear) with noisy right hand side is considered and for stable solving it a regularization procedure with two regularization parameters is taken into account. The problem of optimal choice of a pair of regularization parameters is investigated.
Bauer, Frank, Ivanyshyn, Olha
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On regularization parameter estimation under covariate shift [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 This paper identifies a problem with the usual procedure for L2-regularization parameter estimation in a domain adaptation setting. In such a setting, there are differences between the distributions generating the training data (source domain) and the test data (target domain).
Wouter M. Kouw, Marco Loog
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MathematicsThe total variation regularization (TVR) is one of the methods widely used for numerical differentiation of noisy signals. In this method, an appropriate value must be assigned to the regularization parameter.
Farshad Merrikh-Bayat
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Applied Computing and Geosciences, 2023 The Tikhonov regularization parameter is a key parameter controlling the smoothness degree and oscillations of a regularized unknown solution. Usual methods to determine a proper parameter (L-curve or the discrepancy principle, for example) are not ...
Janaína Anjos Melo +2 more
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Adaptive Estimates of Parameters of Regular Variation
The Annals of Statistics, 1985 The problem of estimating shape and scale parameters for a distribution with regularly varying tails is related to that of nonparametrically estimating a density at a fixed point, in that optimal construction of the estimators depends substantially upon unknown features of the distribution. We show how to overcome this problem by using adaptive methods.
Hall, Peter, Welsh, A. H.
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Shock and Vibration, 2016 According to the regularization method in the inverse problem of load identification, a new method for determining the optimal regularization parameter is proposed. Firstly, quotient function (QF) is defined by utilizing the regularization parameter as a
Wei Gao, Kaiping Yu, Ying Wu
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Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization
Mathematical Modelling and Analysis, 2017 To solve a linear ill-posed problem, a combination of the finite dimensional least squares projection method and the Tikhonov regularization is considered. The dimension of the projection is treated as the second parameter of regularization.
Teresa Reginska
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Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
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