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Ergebnis der Suche nach: "Machine Learning"
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Artikel 27661 Uncertainty-aware estimation of population abundance using machine learning
Enthalten in Multimedia systems Bd. 22, 3.9.2015, Nr. 6, date:11.2016: 737-749
Online Ressource
Artikel 27662 Uncertainty-aware mixed-variable machine learning for materials design
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 27663 Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
Enthalten in International journal of concrete structures and materials Bd. 16, 7.12.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 27664 Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 27665 Unconfined compressive strength prediction of rock materials based on machine learning
Enthalten in Journal of engineering and applied science Bd. 71, 19.6.2024, Nr. 1, date:12.2024: 1-32
Online Ressource
Artikel 27666 Unconfined Compressive Strength Prediction of Soils Improved with Biopolymers: Machine Learning Approach
Enthalten in Transportation infrastructure geotechnology Bd. 12, 9.11.2024, Nr. 1, date:1.2025: 1-32
Online Ressource
Artikel 27667 Uncover the balanced geometry in long-tailed contrastive language-image pretraining
Enthalten in Machine learning Bd. 114, 24.2.2025, Nr. 4, date:4.2025: 1-33
Online Ressource
Artikel 27668 Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Enthalten in Molecular cancer Bd. 20, 28.8.2021, Nr. 1, date:12.2021: 1-22
Online Ressource
Artikel 27669 Uncovering Chronic Conditions using Featured-based Clustering Approach
Enthalten in International journal of information technology Bd. 17, 19.3.2025, Nr. 4, date:5.2025: 2221-2228
Online Ressource
Artikel 27670 Uncovering doubly charged scalars with dominant three-body decays using machine learning
Enthalten in Journal of high energy physics Bd. 2023, 2.11.2023, Nr. 11, date:11.2023: 1-30
Online Ressource


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