Showing 1 - 8 of 8
Variations of dedicated process conditions (such as workpiece and tool properties) yield different process state evolutions, which are reflected by different time series of the observable quantities (process curves). A novel method is presented, which firstly allows to extract the statistical...
Persistent link: https://www.econbiz.de/10014502013
In this work, we consider optimal stopping problems with model uncertainty incorporated into the formulation of the underlying objective function. Typically, the robust, efficient hedging of American options in incomplete markets may be described as optimal stopping of such kind. Based on a...
Persistent link: https://www.econbiz.de/10015110490
This paper summarizes our recent attempts to integrate action and perception within a single optimization framework. We start with a statistical formulation of Helmholtz's ideas about neural energy to furnish a model of perceptual inference and learning that can explain a remarkable range of...
Persistent link: https://www.econbiz.de/10005047289
Semi-supervised classification can help to improve generative classifiers by taking into account the information provided by the unlabeled data points, especially when there are far more unlabeled data than labeled data. The aim is to select a generative classification model using both unlabeled...
Persistent link: https://www.econbiz.de/10010666172
Persistent link: https://www.econbiz.de/10015196872
Persistent link: https://www.econbiz.de/10013440233
Persistent link: https://www.econbiz.de/10013260238
Persistent link: https://www.econbiz.de/10015415726