Results 21 to 30 of about 2,360,976 (284)
On a posteriori error estimates [PDF]
Mathematics of Computation, 1977 Consider a sequence { x n } n = 0 ∞ \{ {x_n}\} _{n = 0}^\infty in a normed space X converging to some x ∗ ∈ X ...
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Model Selection and Error Estimation [PDF]
Machine Learning, 2000 We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate is governed by the quality of
Peter L. Bartlett +2 more
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Simple Statically Indeterminate Truss (Linear, Nonlinear and Stochastic Approach) [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2016 This contribution deals with simple planar and statically indeterminate pin-connected truss. This truss contains 3 members. The ways and methods of derivations and solutions according to theories of 1st and 2nd order are shown.
Karel FRYDRÝŠEK
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Remote Sensing, 2022 The emergence of a photogrammetry-based 3D reconstruction technique enables rapid 3D modeling at a low cost and uncovers many applications in documenting the geometric dimensions of the environment.
Hong Huang +5 more
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Lower bounds for the low-rank matrix approximation
Journal of Inequalities and Applications, 2017 Low-rank matrix recovery is an active topic drawing the attention of many researchers. It addresses the problem of approximating the observed data matrix by an unknown low-rank matrix. Suppose that A is a low-rank matrix approximation of D, where D and A
Jicheng Li, Zisheng Liu, Guo Li
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Energies, 2023 This study aims to focus on using the Volterra series and machine learning for forecasting random and chaotic wind speed regimes, since calm weather is mostly noticed at the local site, making dataset selection difficult.
Amir Abdul Majid
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Unified Description of Efficiency Correction and Error Estimation for Moments of Conserved Quantities in Heavy-Ion Collisions [PDF]
, 2017 We provide a unified description of efficiency correction and error estimation for moments of conserved quantifies in heavy-ion collisions. Moments and cumulants are expressed in terms of the factorial moments, which can be easily corrected for the ...
Luo, Xiaofeng
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Estimation error of the constrained lasso [PDF]
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016 This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (n ≪ p) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse (e.g., when it is weakly sparse), and shows explicitly the effect of ...
Nissim Zerbib +3 more
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Accurate error estimation in CG [PDF]
Numerical Algorithms, 2021 In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear algebraic equations $Ax=b$ with a real symmetric positive definite matrix $A$. During the iterations it is important to monitor the quality of the approximate solution $x_k$ so that the process could be stopped
Gérard Meurant, Jan Papez, Petr Tichý
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Local observers on linear Lie groups with linear estimation error dynamics [PDF]
, 2013 This paper proposes local exponential observers for systems on linear Lie groups. We study two different classes of systems. In the first class, the full state of the system evolves on a linear Lie group and is available for measurement.
Koldychev, Mikhail, Nielsen, Christopher
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