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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26961 - 26970 von 31583
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Artikel 26961 OMLML: a helpful opinion mining method based on lexicon and machine learning in social networks
Enthalten in Social network analysis and mining Bd. 10, 7.1.2020, Nr. 1, date:12.2020: 1-17
Online Ressource
Artikel 26962 On $$(1+\sqrt2})$$ ( 1 + 2 ) convergence-based Newton–Raphson method for approximate solution of singular value Lane-Emden differential equation via modified Laplace Adomian decomposition technique
Enthalten in International journal of information technology Bd. 15, 11.8.2023, Nr. 7, date:10.2023: 3483-3489
Online Ressource
Artikel 26963 On alternating functions in subspaces of $$C[a,b]$$
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 9.7.2025, Nr. 2, date:12.2025: 1-7
Online Ressource
Artikel 26964 On best approximation by multivariate ridge functions with applications to generalized translation networks
Enthalten in Mathematical foundations of machine learning Bd. 1, 1.7.2025, Nr. 1, date:12.2025: 1-71
Online Ressource
Artikel 26965 On combining Big Data and machine learning to support eco-driving behaviours
Enthalten in Journal of Big Data Bd. 6, 22.7.2019, Nr. 1, date:12.2019: 1-15
Online Ressource
Artikel 26966 On combining machine learning with decision making
Enthalten in Machine learning Bd. 97, 28.6.2014, Nr. 1-2, date:10.2014: 33-64
Online Ressource
Artikel 26967 On combining system and machine learning performance tuning for distributed data stream applications
Enthalten in Distributed and parallel databases Bd. 41, 17.5.2023, Nr. 3, date:9.2023: 411-438
Online Ressource
Artikel 26968 On-demand DWDM design using machine learning
Enthalten in Soft computing Bd. 26, 6.6.2022, Nr. 14, date:7.2022: 6577-6589
Online Ressource
Artikel 26969 On establishment of novel constitutive model for directionally solidified nickel-based superalloys utilizing machine learning methods
Enthalten in China foundry Bd. 20, 1.8.2023, Nr. 5, date:9.2023: 365-375
Online Ressource
Artikel 26970 On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics
Enthalten in Scientific reports Bd. 14, 22.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource


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