Sparse Grids and Applications - Miami 2016google.com
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Bastian Bohn Abstract While sparse grid least squares regression algorithms have been frequently used to tackle Big Data problems with a huge number of ...
Sparse Grids and Applications - Seite 1 - Google Books-Ergebnisseitegoogle.com
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Bastian Bohn and Michael Griebel Abstract A real valued, deterministic and stationary time series can be embedded in a—sometimes high-dimensional—real ...
Sparse Grids and Applications - Google Books
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In the recent decade, there has been a growing interest in the numerical treatment of high-dimensional problems. It is well known that classical numerical...
Sparse Grids and Applications - Miami Google Books
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Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than...
Manifold learning with sparse grid methodsUCLA
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joint work with Bastian Bohn. INS, Universität Bonn. 1. Data and the curse of dimension. 2. Principal manifold learning Sparse grids Regression. › bdcws1_15056
Pflüger 1. A Sparse-GTUM
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tion – Bastian Bohn and Michael Griebel – Coffee Break – Session. Chair: Gerstner. 1. Distributed data-mining with sparse grids using ... › SGA2012 › sga12_sc...
Research Group Prof. Griebel - Awards
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Awards. Bastian Bohn Best student talk award for his talk Convergence results for discretized regression applied to sparse grids during the 3rd Workshop on Sparse
Sparse Grids and Applications 2014Universität Stuttgart
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— Bastian Bohn, Institute for Numerical Simulation / University of Bonn. Hans-Joachim Bungartz, TUM / Department of Informatics. › participants
SDM dblpdblp.org › ... › SDM
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Bastian Bohn, Michael Griebel, Jens Oettershagen: Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids view.
Sparse Grids and Applications 2014
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International Workshop on Sparse Grids and Applications in Stuttgart 2014
An Adaptive Sparse Grid Approach for Time Series Prediction |...
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A real valued, deterministic and stationary time series can be embedded in a—sometimes high-dimensional—real vector space. This leads to a one-to-one...
Research Group Prof. Garcke - Publications
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@article{Bohn.Garcke.Griebel:2016, author = {Bastian Bohn and Jochen Garcke and Michael Griebel}, title = {A sparse grid based method for generative dimensionality ...
Sparse Grids and Applications | SpringerLinklink.springer.com › book
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Bastian Bohn, Michael Griebel. Pages PDF · Efficient Analysis of High Dimensional Data in Tensor Formats. Mike Espig, Wolfgang Hackbusch, Alexander ...
Alle Infos zum Namen "Bastian Bohn"
Sparse Grids and Applications 2012
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International Workshop on Sparse Grids and Applications in Munich 2012
An Adaptive Sparse Grid Approach for Time Series PredictionSemantic Scholar
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@inproceedings{Bohn2012AnAS, title={An Adaptive Sparse Grid Approach for Time Series Prediction}, author={Bastian Bohn and Michael Griebel}, year={2012} }. › ...
A sparse grid based method for generative dimensionality ...www.infona.pl › resource
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A sparse grid based method for generative dimensionality reduction of high-dimensional data. Bastian Bohn, Jochen Garcke, Michael Griebel.
On the Convergence Rate of Sparse Grid Least Squares ...www.springerprofessional.de › on-the-convergence-rate-o...
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Autor: Bastian Bohn. Verlag: Springer International Publishing. Erschienen in: Sparse Grids and Applications - Miami » Jetzt Zugang zum Volltext erhalten ...
CiteSeerX — January 2012AN ADAPTIVE SPARSE GRID APPROACH FOR TIME...
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... Errors · Monitor Changes. by B. Bohn , M. Griebel , Bastian Bohn , Michael Griebel ... author = {B. Bohn and M. Griebel and Bastian Bohn and Michael Griebel},
Sparse Grids and Applications TUMwww5.in.tum.de › SGA2018 › participants
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Bastian Bohn, University of Bonn. Hans-Joachim Bungartz, Technical University of Munich. Tucker Carrington, Queen's University. Joshua Chen, University of ...
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