We study a random graph Gn that combines certain aspects of geometric random graphs and preferential attachment graphs. This model yields a graph with power-law degree distributio...
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
This paper presents our system and results for the Feed Distillation task in the Blog track at TREC 2007. Our experiments focus on two dimensions of the task: (1) a large-document...
Jonathan L. Elsas, Jaime Arguello, Jamie Callan, J...
Preferential attachment is a popular model of growing networks. We consider a generalized model with random node removal, and a combination of preferential and random attachment. U...
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...