Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
A framework to assess transient performance measures is introduced by generalizing the theory of the quasi Birthand-Death (QBD) paradigm to QBDs with marked time epochs (QBDm ). T...
Text similarity spans a spectrum, with broad topical similarity near one extreme and document identity at the other. Intermediate levels of similarity – resulting from summariza...
Donald Metzler, Yaniv Bernstein, W. Bruce Croft, A...
This article engages one of the most important concepts in Knowledge Management, namely, the concept of social capital, focusing upon the problem of measure and value in capitali...
It is recognized that many evaluation metrics of machine translation in use that focus on surface word level suffer from their lack of tolerance of linguistic variance, and the in...