|
2131 |
Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms
Probst, Philipp. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
|
|
|
|
2132 |
Improved control of biotechnological processes using hybrid simulation modelling and machine learning on the example of a novel industrial wastewater treatment system
Pettigrew, Liam. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2019
|
|
|
|
2133 |
Improving the Capabilities of Distributed Collaborative Intrusion Detection Systems using Machine Learning
Garcia Cordero, Carlos. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2019
|
|
|
|
2134 |
Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems
Stein, Anthony. - Augsburg : Universität Augsburg, 2019
|
|
|
|
2135 |
Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D
Nikumbh, Sarvesh. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019
|
|
|
|
2136 |
Investigation of BCRP-inhibitors using QSAR and machine learning methods
Marighetti, Federico. - Bonn : Universitäts- und Landesbibliothek Bonn, 2019
|
|
|
|
2137 |
Investigation of hidden multipolar spin order in frustrated magnets using interpretable machine learning techniques
Greitemann, Jonas. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
|
|
|
|
2138 |
Konzeption eines Verfahrens zur ähnlichkeitsbasierten Cluster-Analyse von Vitaldaten und dessen Validierung am Beispiel von Schmerzmittelgaben nach herzchirurgischen Eingriffen
Schrumpf, Fabian. - Rostock : Universität Rostock, 2019
|
|
|
|
2139 |
Learning representations for supervised information fusion using tensor decompositions and deep learning methods
Baier, Stephan. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
|
|
|
|
2140 |
Leveraging sparse and dense features for reliable state estimation in urban environments
Radwan, Noha. - Freiburg : Universität, 2019
|
|
Administration
