A general, practical method for handling sparse data that avoids held-out data and iterative reestimation is derived from first principles. It has been tested on a part-of-speech tagging task and outperformed (deleted) interpolation with context-independent weights, even when the latter used a globally optimal parameter setting determined a posteriori.

The protection of privacy is an increasing concern in today’s global infrastructure. Many research efforts have been therefore devoted to the development of privacy protecting technology. In particular, as an important step for helping users to maintain control over the use of their personal information, current access control solutions have to be enriched with the ability of supporting privacy...

M. Mehdi Owrang O. American University, Dept of Computer Science & IS, Washington DC 20016 [email protected] ABSTRACT Current database technology involves processing a large volume of data in order to discover new knowledge. The high volume of data makes discovery process computationally expensive. In addition, real-world databases tend to be incomplete, redundant, and inconsistent that could...

This paper describes how a deductive object-oriented database (DOOD) can be used to support the storage and management of data which is typical of that found in geographic information systems (GIS). This is done with two aims in mind: to illustrate how a combination of deductive and object-oriented facilities can be applied eeectively in an advanced application, thereby motivating the developme...

The Front End Software Architecture (FESA) developed at CERN was chosen to serve as the front-end level of the future FAIR control system [1]. FESA provides the tools to design and operate DAQ systems (FESA classes) based on common platforms such as PCI, cPCI and VME. It handles common tasks like multiplexing and publishing of the data to Java based GUI applications. A complete FESA framework e...

Representing and consequently processing fuzzy data in standard and binary databases is problematic. The problem is further amplified in binary databases where continuous data is represented by means of discrete ‘1’ and ‘0’ bits. As regards classification, the problem becomes even more acute. In these cases, we may want to group objects based on some fuzzy attributes, but unfortunately, an appr...

Mobile clients have unusual needs for sending and receiving multimedia data. The tTU&tiOnd client/server paTUdip2 does not take into account variable network conditions; thus traditional client/server applications have no capability to respond to intermittent connectivity, changing cost structures, or the kind of jluctuations in available bandwidth which are characteristic of wireless links. Tw...

M. Mehdi Owrang O. American University, Dept of Computer Science & IS, Washington DC 20016 [email protected] ABSTRACT Current database technology involves processing a large volume of data in order to discover new knowledge. The high volume of data makes discovery process computationally expensive. In addition, real-world databases tend to be incomplete, redundant, and inconsistent that could...

The International VLBI Service for Geodesy and Astrometry (IVS) is a globally operating service that coordinates and performs Very Long Baseline Interferometry (VLBI) activities through its constituent components. The VLBI activities are associated with the creation, provision, dissemination, and archiving of relevant VLBI data and products. The data and products are stored in dedicated IVS com...