Abstract—In this paper, we consider the Bayesian CramerRao bound (BCRB) for the dynamical estimation of multi-path Rayleigh channel complex gains in data-aided (DA) and non-dataa...
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
In the last decade, there has been an explosion of online commercial activity enabled by the World Wide Web. An electronic marketplace (e-market) provides an online method to perf...
Adriano M. Pereira, Arlei Silva, Wagner Meira Jr.,...
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
This paper presents the first polylogarithmic-competitive online algorithms for two-metric network design problems. These problems arise naturally in the design of computer netwo...