Search Results - "Pereverzyev, S. V"
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A meta-learning approach to the regularized learning—Case study: Blood glucose prediction
Published in Neural networks (01-09-2012)“…In this paper we present a new scheme of a kernel-based regularization learning algorithm, in which the kernel and the regularization parameter are adaptively…”
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PARAMETER CHOICE STRATEGIES FOR LEAST-SQUARES APPROXIMATION OF NOISY SMOOTH FUNCTIONS ON THE SPHERE
Published in SIAM journal on numerical analysis (01-01-2015)“…We consider a polynomial reconstruction of smooth functions from their noisy values at discrete nodes on the unit sphere by a variant of the regularized…”
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Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions
Published in Applied mathematics and computation (01-11-2013)“…Let f:[-1,1]→R be continuously differentiable. We consider the question of approximating f′(1) from given data of the form (tj,f(tj))j=1M where the points tj…”
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A Function Approximation Approach to the Prediction of Blood Glucose Levels
Published in Frontiers in applied mathematics and statistics (30-08-2021)“…The problem of real time prediction of blood glucose (BG) levels based on the readings from a continuous glucose monitoring (CGM) device is a problem of great…”
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A deep learning approach to diabetic blood glucose prediction
Published 18-07-2017“…Front. Appl. Math. Stat., 14 July 2017 We consider the question of 30-minute prediction of blood glucose levels measured by continuous glucose monitoring…”
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Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology
Published in Journal of Complexity (01-10-2012)“…In this paper we discuss the problem of approximation of the first derivative of a function at the endpoint of its definition interval. This problem is…”
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A function approximation approach to the prediction of blood glucose levels
Published 12-05-2021“…The problem of real time prediction of blood glucose (BG) levels based on the readings from a continuous glucose monitoring (CGM) device is a problem of great…”
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