In this paper, we consider a class of sensor networks where the data is not required in real-time by an observer; for example, a sensor network monitoring a scientific phenomenon ...
Sameer Tilak, Nael B. Abu-Ghazaleh, Wendi Rabiner ...
—One-sided communication is important to enable asynchronous communication and data movement for Global Address Space (GAS) programming models. Such communication is typically re...
Xinyu Que, Weikuan Yu, Vinod Tipparaju, Jeffrey S....
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database...
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...