Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
One of the most important problems faced by microarchitecture designers is the poor scalability of some of the current solutions with increased clock frequencies and wider pipelin...
Measurement and estimation of packet loss characteristics are challenging due to the relatively rare occurrence and typically short duration of packet loss episodes. While active ...
Joel Sommers, Paul Barford, Nick G. Duffield, Amos...
Abstract-- Measurement and estimation of packet loss characteristics are challenging due to the relatively rare occurrence and typically short duration of packet loss episodes. Whi...
Joel Sommers, Paul Barford, Nick G. Duffield, Amos...
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...