— In this work, we study the problem of minimizing the total power consumption in a multi-hop wireless network subject to a given offered load. It is well-known that the total po...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
— Service prioritization among different traffic classes is an important goal for the future Internet. Conventional approaches to solving this problem consider the existing best...
the emergence of Internet and new kind of architecture, likepeer-to-peer (P2P) networks, provides great hope for distributed computation. However, the combination of the world of ...