Provenance is often used to validate data, by verifying its origin and explaining its derivation. When searching for "causes" of tuples in the query results or in genera...
Alexandra Meliou, Wolfgang Gatterbauer, Joseph Y. ...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
This paper presents a methodology for identifying the autonomous system (or systems) responsible when a routing change is observed and propagated by BGP. The origin of such a rout...
Anja Feldmann, Olaf Maennel, Zhuoqing Morley Mao, ...