Open Answer Set Programming (OASP) is an attractive framework for integrating ontologies and rules. In general OASP is undecidable. In previous work we provided a tableau-based alg...
Abstract. In the paper we deal with the problem of modeling and querying information in schemaless databases of partially labeled objects (PLO-DB). Partially labeled objects are us...
The FCC ruling on Nov 4th, 2008 on white spaces has opened up the possibility of wireless network deployments over white spaces, i.e., vacant UHF TV channels. A key requirement fo...
Rohan Murty, Ranveer Chandra, Thomas Moscibroda, P...
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Abstract. This paper presents a separation-logic framework for reasoning about low-level C code in the presence of virtual memory. We describe ract, generic Isabelle/HOL framework ...