The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
This paper describes an approach to constructing a probabilistic process model representing knowledge worker activity out of a log of primitive events, such as e-mails, web page v...
This paper presents a first efficient implementation of a weighted deductive CYK parser for Probabilistic Linear ContextFree Rewriting Systems (PLCFRS), together with context-summ...
This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical...
For the application of Java in realtime and safety critical domains, an analysis of the worst-case execution times of primitive Java operations is necessary. All primitive operati...