Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
Replicating content across a geographically distributed set of servers and redirecting clients to the closest server in terms of latency has emerged as a common paradigm for impro...
Rupa Krishnan, Harsha V. Madhyastha, Sridhar Srini...
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Bandwidth-delay product (BDP) and its upper bound (BDP-UB) have been well-understood in wireline networks such as the Internet. However, they have not been carefully studied in th...
Kai Chen, Yuan Xue, Samarth H. Shah, Klara Nahrste...
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...