Results 21 to 30 of about 7,281 (167)
Kernel and Range Approach to Analytic Network Learning
International Journal of Networked and Distributed Computing (IJNDC), 2018 A novel learning approach for a composite function that can be written in the form of a matrix system of linear equations is introduced in this paper.
Kar-Ann Toh
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Weaker assumptions for convergence of extended block Kaczmarz and Jacobi projection algorithms
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2017 Recent developments in the field of image reconstruction have given rise to the use of projective iterative methods, such as Kaczmarz and Jacobi, when solving inconsistent linear least squares problems. In this paper we try to generalize previous results
Carp Doina +2 more
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Journal of Applied Mathematics, 2003 A comprehensive treatment of Rayleigh-Schrödinger perturbation theory for the symmetric matrix eigenvalue problem is furnished with emphasis on the degenerate problem. The treatment is simply based upon the Moore-Penrose pseudoinverse thus distinguishing
Brian J. McCartin
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Российский технологический журнал, 2022 Objectives. Recent research in machine learning and artificial intelligence aimed at improving prediction accuracy and reducing computational complexity resulted in a novel neural network architecture referred to as an extreme learning machine (ELM).
L. A. Demidova, A. V. Gorchakov
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Inference in the indeterminate parameters problem
Statistica, 2013 We face an indeterminate parameters problem when there are two sets of parameters, x and g, say, such that the null hypothesis H0:x=x0 makes the likelihood independent of g. A consequence of indeterminacy is the singularity of the information matrix. For
Marco Barnabani
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An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial [PDF]
Atmospheric Measurement Techniques, 2015 We present the results of a 1-year quasi-operational testing of the 1.5 μm StreamLine Doppler lidar developed by Halo Photonics from 2 October 2012 to 2 October 2013.
E. Päschke, R. Leinweber, V. Lehmann
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On the Relative Gain Array (RGA) with Singular and Rectangular Matrices
, 2019 In this paper we identify a significant deficiency in the literature on the application of the Relative Gain Array (RGA) formalism in the case of singular matrices.
Uhlmann, Jeffrey
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Error propagation in polarimetric demodulation [PDF]
, 2008 The polarization analysis of the light is typically carried out using modulation schemes. The light of unknown polarization state is passed through a set of known modulation optics and a detector is used to measure the total intensity passing the system.
Collados, M., Ramos, A. Asensio
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Networks and Heterogeneous MediaIn this research, we constructed a class of nonlinear greedy average block Kaczmarz methods to solve nonlinear problems without computing the Moore-Penrose pseudoinverse of the Jacobian matrix.
Ying Lv +4 more
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Protocols for entanglement transformations of bipartite pure states [PDF]
, 2002 We present a general theoretical framework for both deterministic and probabilistic entanglement transformations of bipartite pure states achieved via local operations and classical communication.
A.K. Ekert +9 more
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