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Ergebnis der Suche nach: tit all "Deep Kernel Learning"
im Bestand: Gesamter Bestand

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Artikel 1 Leveraging deep learning-based kernel conversion for more precise airway quantification on CT
Enthalten in European radiology 22.5.2025: 1-14
Online Ressource
Artikel 2 A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options
Enthalten in Computational economics 3.1.2025: 1-22
Online Ressource
Artikel 3 A Lightweight and Smart Deep Kernel Network Learning System for Energy Management and Control in Electrical Ships
Enthalten in Iranian journal of science and technology / Transactions of electrical engineering 13.12.2024: 1-20
Online Ressource
Artikel 4 Retraction Note: Biserial targeted feature projection based radial kernel regressive deep belief neural learning for covid-19 prediction
Enthalten in Soft computing 15.7.2024: 1
Online Ressource
Artikel 5 CitrusDiseaseNet: An integrated approach for automated citrus disease detection using deep learning and kernel extreme learning machine
Enthalten in Earth science informatics 21.5.2024: 1-18
Online Ressource
Artikel 6 Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques
Enthalten in Multimedia tools and applications 14.3.2024: 1-19
Online Ressource
Artikel 7 Expanding Design Spaces in Digital Composite Materials: A Multi‐Input Deep Learning Approach Enhanced by Transfer Learning and Multi‐kernel Network
Enthalten in Advanced theory and simulations 17.08.2023. 11 S.
Online Ressource
Artikel 8 D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis
Enthalten in Multimedia tools and applications 11.1.2023: 1-32
Online Ressource
Online Ressourcen 9 Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks
Strohbeck, Jan. - Ulm : Universität Ulm, 2022
Online Ressource
Online Ressourcen 10 Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules
Berberich, Andreas. - Würzburg : Universität Würzburg, 2022
Online Ressource


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