The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
We introduce a new method for finding nodes semantically related to a given node in a hyperlinked graph: the Green method, based on a classical Markov chain tool. It is generic, ...
Applications of Semantic Web technologies often require the management of metalevel information--that is, information that provides additional detail about domain-level informatio...
Thanh Tran, Peter Haase, Boris Motik, Bernardo Cue...
Modeling crowd behavior is an important challenge for cognitive modelers. We propose a novel model of crowd behavior, based on Festinger’s Social Comparison Theory, a social psy...
We describe a formal framework for diagnosis and repair problems that shares elements of the well known partially observable MDP and cost-sensitive classification models. Our cost...
Michael L. Littman, Nishkam Ravi, Eitan Fenson, Ri...