Results 201 to 210 of about 5,099 (260)

Development of a Prognostic Model for MACE in Atherosclerosis Based on MTHFR and Serum Markers. [PDF]

Clin Appl Thromb Hemost
Dou X, Zhang X, Zeng L, Hu X, Zeng L, Wan Y, Jiang X, Ge M, Huang X.   +8 more
europepmc   +1 more source

Can a low-threshold check-up motivate older adults to schedule a dental visit? Study protocol for a randomized controlled trial. [PDF]

Trials
De Vleeschauwer A, Poppe L, Colman R, Janssens B.   +3 more
europepmc   +1 more source

Cavity-modified exciton-exciton annihilation in disordered molecular systems.

Phys Chem Chem Phys
Sokolovskii I, Humphries BS, Blumberger J, Groenhof G.   +3 more
europepmc   +1 more source

Lp-norm estimation for nonlinear regression models

, 1997
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lp-Norm Multiple Kernel Learning

J. Mach. Learn. Res., 2011
Ziel des Maschinellen Lernens ist das Erlernen unbekannter Konzepte aus Daten. In vielen aktuellen Anwendungsbereichen des Maschinellen Lernens, wie zum Beispiel der Bioinformatik oder der Computer Vision, sind die Daten auf vielfältige Art und Weise in Merkmalsgruppierungen repräsentiert.
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien   +3 more
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Oblivious Routing for the Lp-norm

2009 50th Annual IEEE Symposium on Foundations of Computer Science, 2009
Gupta et al. [GHR06] introduced a very general multi-commodity flow problem in which the cost of a given flow solution on a graph G=(V, E) is calculated by first computing the link loads via a load-function l, that describes the load of a link as a function of the flow traversing the link, and then aggregating the individual link loads into a single ...
Matthias Englert, Harald Räcke
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Least Lp-norm low-pass filter

Automatica, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Asymptotic Performance of Lp-Norm MIMO Detection

2010 IEEE 72nd Vehicular Technology Conference - Fall, 2010
Full search L1-norm (FS-L1) and sphere decoding Linfty-norm (SD-Linfty) detectors have been previously proposed for multiple-input multiple-output (MIMO) systems as they entail a lower receiver complexity than the optimal L2-norm detector. However, the performance loss caused by application of these suboptimal detectors in additive white Gaussian noise
Imtiaz Ahmed 0001, Robert Schober, Ranjan K. Mallik   +2 more
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Partitioning under the Lp norm

European Journal of Operational Research, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert R. Goldberg, Jacob Shapiro
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Independent component analysis by lp-norm optimization

Pattern Recognition, 2018
Abstract In this paper, a couple of new algorithms for independent component analysis (ICA) are proposed. In the proposed methods, the independent sources are assumed to follow a predefined distribution of the form f ( s ) = α exp ( − β | s | p ) and a maximum likelihood estimation is used to separate the sources.
Sungheon Park, Nojun Kwak
openaire   +1 more source