We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Background: Identifying the active site of an enzyme is a crucial step in functional studies. While protein sequences and structures can be experimentally characterized, determini...
State-of-the-art networked storage servers are equipped with increasingly powerful computing capability and large DRAM memory as storage caches. However, their contribution to the...
IEEE 802.11 has become the main technology in local area wireless networks. However, performance anomalies, especially, in terms of fairness, arise in its use in ad hoc networks. ...