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Ergebnis der Suche nach: tit all "Elements of Machine Learning"
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Artikel 1 A machine learning approach to discrimination of igneous rocks and ore deposits by zircon trace elements
Enthalten in American mineralogist Bd. 109, 2024, Nr. 6: 1129-1142. 14 S.
Online Ressource
Artikel 2 Interrogation of Ecotoxic Elements Distribution in Slag and Precipitated Calcite through a Machine Learning‐Based Approach Aided by Mass Spectrometry
Enthalten in Advanced sustainable systems 01.03.2024. 14 S.
Online Ressource
Online Ressourcen 3 Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Cham : Springer International Publishing, 2023, 1st edition 2023
Online Ressource
Artikel 4 Machine learning‐based predictions of buckling behaviour of cold‐formed steel structural elements
Enthalten in ce/papers Bd. 6, 2023, Nr. 3-4: 843-847. 5 S.
Online Ressource
Artikel 5 Machine Learning Enables Multi‐Degree‐of‐Freedom Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements
Enthalten in Advanced optical materials 09.02.2023. 10 S.
Online Ressource
Artikel 6 A machine learning and geostatistical hybrid method to improve spatial prediction accuracy of soil potentially toxic elements
Enthalten in Stochastic environmental research and risk assessment 4.9.2022: 1-16
Online Ressource
Artikel 7 Authentication of the Geographical Origin of Shandong Scallop Chlamys farreri Using Mineral Elements Combined with Multivariate Data Analysis and Machine Learning Algorithm
Enthalten in Food analytical methods 21.6.2022: 1-10
Online Ressource
Artikel 8 Prediction modeling of potentially toxic elements’ hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria
Enthalten in Environmental science and pollution research 27.3.2021: 1-19
Online Ressource
Artikel 9 Elements of Machine Learning, Pat Langley
Enthalten in Journal of logic, language and information Bd. 7, Nr. 1, date:1.1998: 103-105
Online Ressource
Artikel 10 A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data
Enthalten in Scientific reports Bd. 13, 19.6.2023, Nr. 1, date:12.2023: 1-15
Online Ressource


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