In recent years, much work has been done on attempting to scale multicast data transmission to hundreds or thousands of receivers. There are, however, many situations where an app...
Karl Jeacle, Jon Crowcroft, Marinho P. Barcellos, ...
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...