A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
In this paper, we investigate human visual perception and establish a body of ground truth data elicited from human visual studies. We aim to build on the formative work of Ren, E...
Victoria J. Hodge, Garry Hollier, John P. Eakins, ...
Abstract. This paper describes "cranking", a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to comp...
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
In this paper, we report on Qaviar, an experimental automated evaluation system for question answering applications. The goal of our research was to find an automatically calculat...
Eric Breck, John D. Burger, Lisa Ferro, Lynette Hi...