We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
With increasing levels of integration of multiple processing cores and new features to support software functionality, recent generations of microprocessors face difficult validati...
Deepak Mathaikutty, Sreekumar V. Kodakara, Ajit Di...
Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality. In order to apply this method, a usage m...
In this paper, we demonstrate that the performance of a motif discovery algorithm can be significantly improved by embedding it into a novel framework that effectively guides the ...
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...