Current alternatives for language modeling are statistical techniques based on large amounts of training data, and hand-crafted context-free or finite-state grammars that are diff...
John Dowding, Beth Ann Hockey, Jean Mark Gawron, C...
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
—There is increasing demand for running interacting applications in a secure and controllable way on mobile devices. Such demand is not fully supported by the Java/.NET security ...
This paper presents an approach for automated test case generation using a software specification modeled in Statecharts. The steps defined in such approach involve: translation o...
Valdivino A. Santiago, Ana Silvia Martins do Amara...