The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
— Agents are being recommended as a next generation model for revising and restructuring the complex distributed applications. So the task of engineering quality for agent system...
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
O ptimizing embedded applications using a compiler can generally be broken down into two major categories: hand-optimizing code to take advantage of a particular processor's ...
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...