Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
Abstract. We investigate streaming evaluation of filters on XML documents, evaluated both at the root node and at an arbitrary node. Motivated by applications in protocol processin...
—It is increasingly common to find graphs in which edges bear different types, indicating a variety of relationships. For such graphs we propose a class of reachability queries ...
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Ying...