Results 41 to 50 of about 430,573 (198)
Least Squares Generative Adversarial Networks [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross entropy loss function. However, we found that this loss function may lead to the vanishing gradients problem during the learning process. To overcome such a problem, we propose
Mao, Xudong +5 more
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Generalized Least Squares Model Averaging [PDF]
Econometric Reviews, 2013 In this article, we propose a method of averaging generalized least squares estimators for linear regression models with heteroskedastic errors.
Qingfeng Liu +2 more
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Surfaces Generated by Moving Least Squares Methods [PDF]
Mathematics of Computation, 1981 An analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented. In particular, theorems are proved concerning the smoothness of interpolants and the description of m.l.s. processes as projection methods. Some properties of compositions of the m.l.s.
Lancaster, P., Salkauskas, K.
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On generalized least square approximation
Dolomites Research Notes on Approximation, 2019 Summary: We study generalized least square approximation polynomials which are built from sets of functionals. We construct sets of functionals for bivariate harmonic functions, univariate holomorphic functions and sufficiently smooth functions on curves such that the sequences of the generalized least square approximation polynomials converge ...
Phung, Van Manh +2 more
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Email: A Note on Hypothesis Tests after Correction for Autocorrelation: Solace for the Cochrane-Orcutt Method? [PDF]
, 2009 The behavior of the t test in small samples for coefficient significance in time-series regressions is examined after using the Prais-Winsten (PW) and Cochrane-Orcutt (CO) corrections for autocorrelation.
Dielman, Terry E.
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Adaptive Estimation of Autoregressive Models with Time-Varying Variances [PDF]
Stable autoregressive models of known finite order are considered with martingale differences errors scaled by an unknown nonparametric time-varying function generating heterogeneity.
Ke-Li Xu, Peter C.B. Phillips
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The Impact of Human Capital on the Civil Wars Considering the Role of Democracy: A Panel Generalized Least Squares Approach [PDF]
پژوهشهای اقتصادی, 2016 Over the past two hundred years, not only the process of democracy formation has not been uniform; but also it has been with different fluctuations, including internal and external wars and conflicts.
Mohammad Hassan Fotros +2 more
doaj
Abstract and Applied Analysis, 2012 The generalized coupled Sylvester systems play a fundamental role in wide applications in several areas, such as stability theory, control theory, perturbation analysis, and some other fields of pure and applied mathematics.
Feng Yin, Guang-Xin Huang
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Generalized Euclidean Least Square Approximation
Asian Journal of Probability and Statistics, 2018 A Generalised Euclidean Least Square Approximation (ELS) is derived in this paper. The Generalised Euclidean Least Square Approximation is derived by generalizing the interpolation of n arbitrary data set to approximate functions. Existence and uniqueness of the ELS schemes are shown by establishing the invertibility of the coefficient matrix using ...
A. G. Akinbande +2 more
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A weighting strategy for Active Shape Models
, 2017 Active Shape Models (ASM) are an iterative segmentation technique to find a landmark-based contour of an object. In each iteration, a least-squares fit of a plausible shape to some detected target landmarks is determined.
Eguizabal, Alma, Schreier, Peter J.
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