This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
Many data sources on the Web evolve in the sense that they change their content over time, typically as a reaction to some event. Such changes often need to be mirrored in data on...
Motivated by questions in property testing, we search for linear error-correcting codes that have the “single local orbit” property: i.e., they are specified by a single loca...
If access control policy decision points are not neatly separated from the business logic of a system, the evolution of a security policy likely leads to the necessity of changing...
Yves Le Traon, Tejeddine Mouelhi, Alexander Pretsc...
We present a scalable, SPARQL-based computational pipeline for testing the lattice-theoretic properties of partial orders represented as RDF triples. The use case for this work is ...