The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
With 90nm CMOS in production and 65nm testing in progress, power has been pushed to the forefront of design metrics. This paper will outline practical techniques that are used to ...
This demonstration will show the application of a unique approach to collecting and analyzing usability data from the users of Web sites and software applications. The NetRaker Su...
In recent years, large amount of data modeled by graphs, namely graph data, have been collected in various domains. Efficiently processing queries on graph databases has attracted...
We present Schism, a novel workload-aware approach for database partitioning and replication designed to improve scalability of sharednothing distributed databases. Because distri...
Carlo Curino, Yang Zhang, Evan P. C. Jones, Samuel...