Results 31 to 40 of about 57,510 (165)
Frontiers in Neural Circuits, 2013 Dynamic oscillatory coherence is believed to play a central role in flexible communication between brain circuits. To test this communication-through-coherence hypothesis, experimental protocols that allow a reliable control of phase-relations between ...
Annette eWitt +15 more
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PythagorasThe subject Mathematical Literacy (ML) prioritises an interplay of mathematics and real-life contexts in pursuit of an empowerment agenda for improved life opportunities.
Marc P. North
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Bernstein-type approximations of smooth functions
Statistica, 2007 The Bernstein-type approximation for smooth functions is proposed and studied. We propose the Bernstein-type approximation with definitions that directly apply the binomial distribution and the multivariate binomial distribution.
Andrea Pallini
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Biomedicines, 2022 Pathogenesis of chronic kidney disease (CKD) is accompanied by extracellular acidosis inflammation, fibrosis and epithelial-to-mesenchymal transition (EMT). The aim of this study was to assess the influence of acidosis on tubule epithelial cells (NRK-52E)
Marie-Christin Schulz +3 more
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Bernstein components via Bernstein center
, 2015 Dedicated to J.Bernstein on the occasion of his 70th ...
Braverman, Alexander +2 more
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Pyff---A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience
Frontiers in Neuroscience, 2010 This paper introduces Pyff, the Pythonic Feedback Framework for feedbackapplications and stimulus presentation. Pyff provides a platform independentframework that allows users to develop and run neuroscientific experiments inthe programming language ...
Bastian Venthur +14 more
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Empirical Bernstein stopping [PDF]
Proceedings of the 25th international conference on Machine learning - ICML '08, 2008 Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the performance in an online fashion and they can stop early, saving valuable resources.
Mnih, Volodymyr +2 more
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Modular toolkit for Data Processing (MDP): a Python data processing framework
Frontiers in Neuroinformatics, 2009 Modular toolkit for Data Processing (MDP) is a data processing framework written in Python. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into ...
Tiziano Zito +5 more
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On the F-Bernstein Polynomials
Ukrainian Mathematical JournalzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Erdem, Alper +2 more
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A Note on the Modified q-Bernstein Polynomials
Discrete Dynamics in Nature and Society, 2010 We propose the modified q-Bernstein polynomials of degree n which are different q-Bernstein polynomials of Phillips (1997). From these modified q-Bernstein polynomials of degree n, we derive some recurrence formulae for the modified q-Bernstein ...
Taekyun Kim, Lee-Chae Jang, Heungsu Yi
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