Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
— In the current Internet, many applications start sessions with multiple connections to multiple servers in order to expedite the reception of data. One may argue that such aggr...
Pradnya Karbhari, Ellen W. Zegura, Mostafa H. Amma...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Semantic web researchers tend to assume that XML Schema and OWL-S are the correct means for representing the types, structure, and semantics of XML data used for documents and int...
Andruid Kerne, Zachary O. Toups, Blake Dworaczyk, ...
In this paper we examine undesired inference attacks from distributed public XML documents. An undesired inference is a chain of reasoning that leads to protected data of an organ...