In this paper we prove lower bounds on randomized multiparty communication complexity, both in the blackboard model (where each message is written on a blackboard for all players ...
Energy efficiency and power capping remain growing concerns in server systems. Online applications continue to evolve with new features and dynamic clientdirected processing, res...
Kai Shen, Arrvindh Shriraman, Sandhya Dwarkadas, X...
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...