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...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
The performance evaluation of an information retrieval system is a decisive aspect for the measure of the improvements in search technology. Our work intends to provide a framewor...
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...