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  • Search: subject:"sparse approximation"
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Year of publication
Subject
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sparse approximation 2 Algorithm 1 Algorithmus 1 Estimation theory 1 Forecasting model 1 Frames 1 Learning process 1 Lernprozess 1 Mathematical programming 1 Mathematische Optimierung 1 Neural networks 1 Neuronale Netze 1 Overcomplete atomic dictionaries 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 Reproducing Kernel Hilbert spaces 1 Schätztheorie 1 Sparse approximation 1 Theorie 1 Theory 1 Wavelets 1 adaptive boosting 1 adaptive control 1 chordal graphs 1 column generation 1 ensemble learning 1 high-resolution data 1 interior point method 1 kernel regression 1 matrix completion 1 optimal transport 1 signalized intersections 1 traffic prediction 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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Capobianco, Enrico 1 Gondzio, Jacek 1 Jabari, Saif Eddin 1 Li, Wenqing 1 Yang, Chuhan 1 Zanetti, Filippo 1
Published in...
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 Physica A: Statistical Mechanics and its Applications 1 Transportation science 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Nonlinear traffic prediction as a matrix completion problem with ensemble learning
Li, Wenqing; Yang, Chuhan; Jabari, Saif Eddin - In: Transportation science 56 (2022) 1, pp. 52-78
Persistent link: https://www.econbiz.de/10012820517
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An interior point–inspired algorithm for linear programs arising in discrete optimal transport
Zanetti, Filippo; Gondzio, Jacek - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 5, pp. 1061-1078
Persistent link: https://www.econbiz.de/10014422990
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Kernel methods and flexible inference for complex stochastic dynamics
Capobianco, Enrico - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 16, pp. 4077-4098
Approximation theory suggests that series expansions and projections represent standard tools for random process applications from both numerical and statistical standpoints. Such instruments emphasize the role of both sparsity and smoothness for compression purposes, the decorrelation power...
Persistent link: https://www.econbiz.de/10010873605
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