Katalog der Deutschen Nationalbibliothek

Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
 
 


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

26701 - 26710 von 27470
<< < > >>


Artikel 26701 TIDD: tool-independent and data-dependent machine learning for peptide identification
Enthalten in BMC bioinformatics Bd. 23, 30.3.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26702 Tikhonov, Ivanov and Morozov regularization for support vector machine learning
Enthalten in Machine learning Bd. 103, 22.12.2015, Nr. 1, date:4.2016: 103-136
Online Ressource
Artikel 26703 Tiling and weak tiling in $$(\mathbb Z}_p)^d$$ ( Z p ) d
Enthalten in Sampling theory, signal processing, and data analysis Bd. 22, 4.12.2023, Nr. 1, date:6.2024: 1-12
Online Ressource
Artikel 26704 Time-dependent personalized prognostic analysis by machine learning in biochemical recurrence after radical prostatectomy: a retrospective cohort study
Enthalten in BMC cancer Bd. 24, 25.11.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26705 Time series forecasting of bed occupancy in mental health facilities in India using machine learning
Enthalten in Scientific reports Bd. 15, 21.1.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 26706 Timely Prediction of Diabetes by Means of Machine Learning Practices
Enthalten in Augmented human research Bd. 8, 9.12.2023, Nr. 1, date:12.2023: 1-7
Online Ressource
Artikel 26707 Tire mode shape categorization using Zernike annular moment and machine learning classification
Enthalten in Scientific reports Bd. 14, 25.4.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26708 TISCMB: design of a highly efficient blockchain consensus model with trust integrated self-correcting miner selection
Enthalten in International journal of information technology Bd. 15, 1.4.2023, Nr. 4, date:4.2023: 1845-1858
Online Ressource
Artikel 26709 Tissue-based Alzheimer gene expression markers–comparison of multiple machine learning approaches and investigation of redundancy in small biomarker sets
Enthalten in BMC bioinformatics Bd. 13, 15.10.2012, Nr. 1, date:12.2012: 1-17
Online Ressource
Artikel 26710 Title: how accurately can machine learning technology for quantitative imaging analysis represent actual coronary artery data?
Enthalten in The international journal of cardiovascular imaging Bd. 38, 21.6.2022, Nr. 7, date:7.2022: 1441-1442
Online Ressource


26701 - 26710 von 27470
<< < > >>


E-Mail-IconAdministration