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221 |
Machine learning under resource constraints / Volume 1. Fundamentals
[2023]
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222 |
Machine learning under resource constraints / Volume 2. Discovery in physics
[2023]
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223 |
Machine learning under resource constraints / Volume 3. Applications
[2023]
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224 |
[The StatQest illustrated guide to machine learning]
Machine learning visuell lernen von StatQuest
Starmer, Josh. - Frechen : mitp, 2023, 1. Auflage
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225 |
Mapping what is not mapped
Herfort, Benjamin. - Heidelberg, [2023]
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226 |
Maschinelles Lernen - Grundlagen und Anwendungen
Botsch, Benny. - Berlin, Germany : Springer Spektrum, [2023]
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227 |
Measurement of the photon energy spectrum in inclusive radiative B meson decays using the hadronic-tagging method
Svidras, Henrikas. - Hamburg : Verlag Deutsches Elektronen-Synchrotron DESY, March 2023
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228 |
Measurement of the tt̄H(bb̄) process in the dilepton final state with machine learning techniques at the CMS Experiment
Giraldi, Angela. - Hamburg, Germany : Verlag Deutsches Elektronen-Synchrotron DESY, April 2023
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229 |
Medical image reconstruction
Zeng, Gengsheng Lawrence. - Berlin : De Gruyter, [2023], 2nd edition
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230 |
Methoden des bestärkenden Lernens für die Produktionsablaufplanung
Lang, Sebastian. - Wiesbaden : Springer Vieweg, [2023]
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Administration
