Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most com...
Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen...
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
Many artificial intelligence systems implicitly use notions of granularity in reasoning, but there is very little research into granularity itself. An exception is the work of Hob...