The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
By allowing end hosts to make routing decisions at the application level, different overlay networks may unintentionally interfere with each other. This paper describes how multip...
The movement to multi-core processors increases the need for simpler, more robust parallel programming models. Atomic sections have been widely recognized for their ease of use. T...
Bill McCloskey, Feng Zhou, David Gay, Eric A. Brew...
Abstract. Information assurance applications built according to the MILS (Multiple Independent Levels of Security) architecture often contain information flow policies that are con...