We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
The focus of this paper is on interoperability issues to achieve data integration in distributed databases for geographic applications. Our concrete application is in the context ...
Isabel F. Cruz, Afsheen Rajendran, William Sunna, ...
In this paper we deal with problems occurring in evolving interrelated Web databanks. Examples of such databanks are networks of interlinked scientific repositories on the Web, man...
Abstract--Expertise matching, aiming to find the alignment between experts and queries, is a common problem in many real applications such as conference paper-reviewer assignment, ...
Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however...