Identifying ‘authorized users’, identifying kin: negotiating relational worlds through Geographical Indications registration

Identifying Novel Drug Indications through Automated Reasoning

BACKGROUND With the large amount of pharmacological and biological knowledge available in literature, finding novel drug indications for existing drugs using in silico approaches has become increasingly feasible. Typical literature-based approaches generate new hypotheses in the form of protein-protein interactions networks by means of linking concepts based on their cooccurrences within abstra...

Identifying a trade-negotiating agenda

Identifying Independence in Relational Models

The rules of d -separation provide a framework for deriving conditional independence facts from model structure. However, this theory only applies to simple directed graphical models. We introduce relational d -separation, a theory for deriving conditional independence in relational models. We provide a sound, complete, and computationally efficient method for relational d -separation, and we p...

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering

It is often the case that, within an online recommender system, multiple users share a common account. Can such shared accounts be identified solely on the basis of the userprovided ratings? Once a shared account is identified, can the different users sharing it be identified as well? Whenever such user identification is feasible, it opens the way to possible improvements in personalized recomm...

Identifying Geographical Processes from Time-Stamped Data

Humans tend to interpret a temporal series of geographical spatial data in terms of geographical processes. They also often ascribe certain properties to processes (e.g. a process may be said to accelerate). Given a spatial region of observation, distinct properties may be observed in different subregions and at different times, which causes difficulties for humans to identify them. The concept...