To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Understanding the characteristics of the Internet delay space (i.e., the all-pairs set of static round-trip propagation delays among edge networks in the Internet) is important fo...
Bo Zhang, T. S. Eugene Ng, Animesh Nandi, Rudolf H...
Debugging the performance of parallel and distributed systems remains a difficult task despite the widespread use of middleware packages for automatic distribution, communication...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
The Reference Model of Open Distributed Processing (RM-ODP) is a joint standardization effort by ITU-T and ISO/IEC for the specification of large open distributed systems. RM-ODP ...