We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
Distributed Web-server systems have been widely used to provide effective Internet services. The management of these systems requires dynamic controls of the Web traffic. With the...
Abstract. Dynamic Pushdown Networks (DPNs) are a model for parallel programs with (recursive) procedures and process creation. The goal of this paper is to develop generic techniqu...
Load balancing involves assigning to each processor, work proportional to its performance, minimizing the execution time of the program. Althoughstatic load balancing can solve ma...
Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasar...