good initial seed that can be used for training and learning in machine-learning systems, for the same categories, other …

variables to forecast protability for about 2,000 regional banks. Machine learning algorithms are able to beat traditional … zeigt sich, dass Machine Learning-Ansätze genauere Prognosen liefern können, als traditionelle Modelle, wie die Methode der …

form the basis of the deeper statistical understanding. We then present several machine learning techniques such as …

exploration and calibration of ABMs combining supervised machine-learning and intelligent sampling to build a surrogate meta … time. In that, our machine-learning surrogate facilitates large scale explorations of the parameter-space, while providing … machine learning surrogates to facilitate fast and precise exploration of agent-based models' behaviour over their often …