Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
We present a novel technique that identifies the source compiler of program binaries, an important element of program provenance. Program provenance answers fundamental questions...
Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Abstract. We present the first comprehensive approach to integrating cardinality and weight rules into conflict-driven ASP solving. We begin with a uniform, constraint-based charac...
Martin Gebser, Roland Kaminski, Benjamin Kaufmann,...
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...