Implementing and exploring innovative approaches to seismicity analysis and earthquake statistics has been the focus of my research for the past five years. The comprehensive seismicity analysis software that I have developed, ZMAP, is distributed by IASPEI and now in use in more than 30 research institutes worldwide. This resulted in multiple opportunities for collaborative research projects. ...

In many real-world domains the task of machine learning algorithms is to learn a theory for predicting numerical values. In particular several standard test domains used in Inductive Logic Programming (ILP) are concerned with predicting numerical values from examples and relational and mostly non-determinate background knowledge. However, so far no ILP algorithm except one can predict numbers a...

Stefan Heil To compress text files, a neural predictor network P is used to approximate the conditional probability distribution of possible "next characters", given n previous characters. P's outputs are fed into standard coding algorithms that generate short codes for characters with high predicted probability and long codes for highly unpredictable characters. Tested on short German newspape...