Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Collaboration based on computers involves two factors, human users and computer systems. When we hope to build a feasible and efficient collaborative system, we must consider both...
: Question answering systems have proven to be helpful to users because they can provide succinct answers that do not require users to wade through a large number of documents. How...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...