Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
We develop a simulation model for the ATM ABR service, and use it to engineer ABR congestion control behavior. Although significant work has been performed on ABR rate allocation a...
Sonia Fahmy, Raj Jain, Rohit Goyal and Bobby Vanda...
This paper analyzes performance of MEGACO (Media Gateway Control Protocol) based on Diameter which is an Authentication, Authorization,andAccounting (AAA) protocol developed withi...
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...