In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
The current World Wide Web is essentially a network of documents, a continuously evolving information universe. But the potential of internetworking goes far beyond information ac...
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
In this work we present the details of the implementation of Fotofiti(FF), a website that provides automatic semantic annotation of digital photographs, event management and soci...