Results 21 to 30 of about 1,010,511 (312)
Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization
Abstract and Applied Analysis, 2014 We introduce a constructive approach for the least squares algorithms with generalized K-norm regularization. Different from the previous studies, a stepping-stone function is constructed with some adjustable parameters in error decomposition.
Cheng Wang, Weilin Nie
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Error analysis of a least squares pseudo-derivative moving least squares method [PDF]
Proyecciones (Antofagasta), 2017 Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules +2 more
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Performance Analysis of the Least-Squares Estimator in Astrometry [PDF]
Publications of the Astronomical Society of the Pacific, 2015 We characterize the performance of the widely-used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound. In this inference context the performance of the least-squares estimator does not offer a closed-form expression, but a new result is presented (Theorem 1) where both the bias and the mean-square ...
Lobos, Rodrigo A. +3 more
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Least-squares methods for identifying biochemical regulatory networks from noisy measurements [PDF]
, 2007 <b>Background</b>: We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data.
Postlethwaite, I. +18 more
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Mathematics, 2019 We study an iterative differential-difference method for solving nonlinear least squares problems, which uses, instead of the Jacobian, the sum of derivative of differentiable parts of operator and divided difference of nondifferentiable parts. Moreover,
Ioannis Argyros +2 more
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Analysis of MIMO Receiver Using Generalized Least Squares Method in Colored Environments
Journal of Computer Networks and Communications, 2014 The classical detection techniques for multiple-input multiple-output (MIMO) systems are usually designed with the assumption that the additive complex Gaussian noise is uncorrelated. However, for closely spaced antennas, the additive noise is correlated
Mohamed Lassaad Ammari, Paul Fortier
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Operational Transfer Path Analysis with Total Least Squares Method
水下无人系统学报Operational transfer path analysis(OTPA) utilizes response data under different working conditions to decompose and predict vibration noise and is therefore widely used in various engineering fields.
Juntao GUI +3 more
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IEEE Access, 2020 We propose new appearance-based face recognition methods based on global-local structure-preserving partial least squares discriminant analysis. Two variants of the method are described in this article: the neighbourhood-preserving partial least squares ...
Muhammad Aminu, Noor Atinah Ahmad
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
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On random least-square analysis
Journal of Mathematical Analysis and Applications, 1974 AbstractDispersion in the output data of a system can be analyzed as either noise fluctuations about a deterministic model or as the noise with added fluctuations due to randomness in the model itself. This latter interpretation finds applications in the identification of inherently random systems which provide rational models for systems such as ...
Dowdee, J.W, Soong, T.T
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