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About the multidimensional competitive learning vector quantization algorithm with constant gain
The Annals of Applied Probability, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bouton, Catherine, Pagès, Gilles
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Tutorial Teaching: A New Paradigm for the Development of Competencies
Journal of Educational, Cultural and Psychological Studies, 2013 Higher education institutions have been confronted with demanding challenges regarding especially the quality of teaching and learning. The constant technological evolution, the rapid growth in the production and dissemination of scientific knowledge ...
Marco Ferreira
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Online Gain Tuning Using Neural Networks: A Comparative Study
AgriEngineering, 2022 This paper addresses the problem of adapting a control system to unseen conditions, specifically to the problem of trajectory tracking in off-road conditions.
Ashley Hill +3 more
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Digital Immigrants in Distance Education
International Review of Research in Open and Distributed Learning, 2017 The constant growth of methods of education that incorporate the Internet into teaching-learning processes has opened up a wide range of opportunities for students across the world to gain entry to undergraduate or graduate degree programs.
Roberto Salazar-Márquez
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The Evolution of Fiscal Policy and Public Debt Dynamics: The Case of Sweden
Gospodarka Narodowa. The Polish Journal of Economics, 2022 The aim of the paper is to evaluate the long-run sustainability of fiscal policy in Sweden using a time-varying fiscal reaction function. Sufficient sustainability conditions are discussed, and it is demonstrated that fiscal sustainability is consistent ...
Anna Staszewska-Bystrova, Victor Bystrov
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Timing matters: The impact of immediate and delayed feedback on artificial language learning
Frontiers in Human Neuroscience, 2011 In the present experiment, we used event-related potentials (ERP) to investigate the role of immediate and delayed feedback in an artificial grammar learning task.
Bertram Opitz +2 more
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Repetitive Learning Control for Nonlinear Systems Subject to Time Delays and Dead-Zone Input
Applied SciencesThis paper presents a repetitive learning control scheme to handle systems subject to both time-delay and dead-zone nonlinearities and the state-dependent input gain simultaneously.
He Li, Taoming Ye, Xiaoming Lu
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Multiple imputation using the average code from autoencoders
Computer Methods and Programs in Biomedicine Update, 2022 Background: Missing information is a constant issue in the clinical setting. The presence of missing values (MV) is triggered by the wrong acquisition of data or sudden events in the patient’s health condition.
Edwar Macias +3 more
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, 2012 BACKGROUND AND PURPOSE: Recovery after stroke occurs on the basis of specific molecular events. Genetic polymorphisms associated with impaired neural repair or plasticity might reduce recovery from stroke and might also account for some of the ...
PROCACCIO V +4 more
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Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
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