Abstract— Mobile wireless sensor networks have to be robust against the limitations of the underlying platform. While lightweight form factor makes them an attractive choice for ...
Lun Jiang, Jyh-How Huang, Ankur Kamthe, Tao Liu, I...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
Information and communication technologies (ICTs) continue to have a profound effect on the economies and societies where they are used. In this article, we propose three related...