We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
In the near future NASAintends to explore various regions of our solar systemusing robotic devices such as rovers, spacecraft, airplanes, and/or balloons. Such platforms will carr...
Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L....
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
A method is described for real-time market intelligence and competitive analysis. News stories are collected online for a designated group of companies. The goal is to detect crit...