The support of process enactment through the use of workflow management systems has gained considerable attention within the last few years. We develop a classification framework c...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
We consider the problem if a given program satisfies a specified safety property. Interesting programs have infinite state spaces, with inputs ranging over infinite domains, and f...
Bhargav S. Gulavani, Thomas A. Henzinger, Yamini K...
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan
Increases in peak current draw and reductions in the operating voltages of processors continue to amplify the importance of dealing with voltage fluctuations in processors. Noise-...
Meeta Sharma Gupta, Krishna K. Rangan, Michael D. ...