Security enforcement framework is an important aspect of any distributed system. With new requirements imposed by SOA-based business models, adaptive security enforcement on the a...
Ivan Djordjevic, Srijith K. Nair, Theodosis Dimitr...
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
We present results from a new Interagency Language Roundtable (ILR) based comprehension test. This new test design presents questions at multiple ILR difficulty levels within each...
Douglas Jones, Martha Herzog, Hussny Ibrahim, Arvi...
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...