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Ergebnis der Suche nach: tit all "Randomized algorithms"
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111 - 120 von 122
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Artikel 111 On randomized sketching algorithms and the Tracy–Widom law
Enthalten in Statistics and computing Bd. 33, 19.1.2023, Nr. 1, date:2.2023: 1-12
Online Ressource
Artikel 112 Optimization of Randomized Monte Carlo Algorithms for Solving Problems with Random Parameters
Enthalten in Doklady mathematics Bd. 98, 10.11.2018, Nr. 2, date:9.2018: 448-451
Online Ressource
Artikel 113 Prediction of hot-rolled strip crown based on Boruta and extremely randomized trees algorithms
Enthalten in Journal of iron and steel research, international Bd. 30, 26.4.2023, Nr. 5, date:5.2023: 1022-1031
Online Ressource
Artikel 114 Randomized Algorithms for Some Hard-to-Solve Problems of Clustering a Finite Set of Points in Euclidean Space
Enthalten in Computational mathematics and mathematical physics Bd. 59, 19.6.2019, Nr. 5, date:5.2019: 842-850
Online Ressource
Artikel 115 Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks
Enthalten in Statistics and computing Bd. 29, 14.2.2019, Nr. 5, date:9.2019: 1165-1179
Online Ressource
Artikel 116 Randomized Machine Learning Algorithms to Forecast the Evolution of Thermokarst Lakes Area in Permafrost Zones
Enthalten in Automation and remote control Bd. 84, 8.8.2023, Nr. 1, date:1.2023: 56-70
Online Ressource
Artikel 117 Randomized Monte Carlo Algorithms for Problems with Random Parameters (“Double Randomization” Method)
Enthalten in Numerical analysis and applications Bd. 12, 6.6.2019, Nr. 2, date:4.2019: 155-165
Online Ressource
Artikel 118 Randomized rounding algorithms for large scale unsplittable flow problems
Enthalten in Journal of heuristics Bd. 27, 9.9.2021, Nr. 6, date:12.2021: 1081-1110
Online Ressource
Artikel 119 Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions
Enthalten in Advances in computational mathematics Bd. 49, 7.8.2023, Nr. 4, date:8.2023: 1-29
Online Ressource
Artikel 120 Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers
Enthalten in Environmental monitoring and assessment Bd. 193, 22.6.2021, Nr. 7, date:7.2021: 1-21
Online Ressource


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