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2791 |
Predictive Analytics mit Azure Machine Learning
Jäger-Grassl, Nikolaus. - München : GRIN Verlag, 2019, 1. Auflage
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2792 |
Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning
D'Isanto, Antonio. - Heidelberg, [2019?]
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2793 |
Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning
D'Isanto, Antonio. - Heidelberg : Universitätsbibliothek Heidelberg, 2019
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2794 |
Quantitative Mapping of Soil Property Based on Laboratory and Airborne Hyperspectral Data Using Machine Learning
Liu, Lanfa. - Dresden : Technische Universität Dresden, 2019
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2795 |
Quantum-enhanced machine learning in the NISQ era
Radic, Marco. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2019
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2796 |
Radiomics risk modelling using machine learning algorithms for personalised radiation oncology
Leger, Stefan. - Dresden : Technische Universität Dresden, 2019
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2797 |
Raumzeitliches Data-Mining in dynamischen Sensorsystemen
Braatz, Aaron. - Hamburg : Hochschule für Angewandte Wissenschaften Hamburg, 2019
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2798 |
Robust Speech Enhancement Using Statistical Signal Processing and Machine-Learning
Rehr, Robert. - Hamburg : Staats- und Universitätsbibliothek Hamburg, 2019
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2799 |
Satellite-Based Fog Detection: A Dynamic Retrieval Method for Europe Based on Machine Learning
Egli, Sebastian. - Marburg : Philipps-Universität Marburg, 2019
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2800 |
Searching for a Unicorn: A Machine Learning Approach Towards Startup Success Prediction
Ünal, Cemre. - Berlin : Humboldt-Universität zu Berlin, 2019
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