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Ergebnis der Suche nach: tit all "Randomized algorithms"
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Artikel 1 The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms
Enthalten in Multimedia tools and applications 15.2.2024: 1-16
Online Ressource
Artikel 2 Pass-efficient randomized LU algorithms for computing low-rank matrix approximation
Enthalten in Monte Carlo methods and applications Bd. 29, 2023, Nr. 3: 181-202. 22 S.
Online Ressource
Artikel 3 Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations
Enthalten in Numerical algorithms 25.9.2023: 1-31
Online Ressource
Artikel 4 On the efficiency of using correlative randomized algorithms for solving problems of gamma radiation transfer in stochastic medium
Enthalten in Russian journal of numerical analysis and mathematical modelling Bd. 37, 2022, Nr. 4: 231-240. 10 S.
Online Ressource
Artikel 5 Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials
Enthalten in Biometrical journal 27.11.2022. 27 S.
Online Ressource
Artikel 6 Randomized algorithms for the computation of multilinear rank- $$(\mu _1,\mu _2,\mu _3)$$ ( μ 1 , μ 2 , μ 3 ) approximations
Enthalten in Journal of global optimization 26.5.2022: 1-31
Online Ressource
Online Ressourcen 7 Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms - A randomized Approach to compare Pixel based and Convolution based Methods
Gilcher, Mario. - Trier : Universität Trier, 2021
Online Ressource
Artikel 8 Correction to: Verification of randomized consensus algorithms under round-rigid adversaries
Enthalten in International journal on software tools for technology transfer 30.5.2021: 1
Online Ressource
Artikel 9 Verification of randomized consensus algorithms under round-rigid adversaries
Enthalten in International journal on software tools for technology transfer 2.2.2021: 1-25
Online Ressource
Online Ressourcen 10 Randomized optimal stopping algorithms and their convergence analysis
Bayer, Christian. - Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2020
Online Ressource


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