Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
Register bypassing is a powerful and widely used feature in modern processors to eliminate certain data hazards. Although complete bypassing is ideal for performance, bypassing ha...
Aviral Shrivastava, Eugene Earlie, Nikil D. Dutt, ...