Elections in India are conducted almost exclusively using electronic voting machines developed over the past two decades by a pair of government-owned companies. These devices, kn...
Scott Wolchok, Eric Wustrow, J. Alex Halderman, Ha...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...
Abstract. Adaptive Hypermedia content offers personalization; however, (re)using such material with regular Learning Management Systems (LMS) is not yet straightforward. Ideally, m...