Striking a balance between rigidity and flexibility is a central challenge in designing business processes. Striking this balance begins on the type level, because expressiveness ...
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
We give a counterexample to a conjecture by Wild about binary matroids. We connect two equivalent lines of research in matroid theory: a simple type of basis-exchange property and ...