This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
This work addresses the problem of diagnosing configuration errors that cause a system to function incorrectly. For example, a change to the local firewall policy could cause a ne...
Andrew Whitaker, Richard S. Cox, Steven D. Gribble
Abstract: The time-triggered System-on-a-Chip (SoC) architecture provides a generic multicore system platform for a family of composable and dependable giga-scale SoCs. It supports...
Roman Obermaisser, Hermann Kopetz, Christian El Sa...
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
simulations compare to similar measurements done in more abstract settings. We find that participant tolerance for certain types of errors is significantly higher in a realistic sn...