This paper proposes a novel database replication algorithm that offers strong consistency (linearizable semantics) and allows reads and non-conflicting writes to execute in para...
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
QSM is a multicast engine designed to support a style of distributed programming in which application objects are replicated among clients and updated via multicast. The model req...
— Data-centric storage [6] is a very important concept for sensor networks that supports efficient in-network data query and processing. Previous approaches are mostly using a h...