Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Due to resource constraints, Web archiving systems and search engines usually have difficulties keeping the entire local repository synchronized with the Web. We advance the state...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...