Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...
In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
Abstract. We consider the problem of XML schema evolution preserving the validity of existing documents related to the original schema. The aim of such schema evolution is to fit ...
Collocation translation is important for machine translation and many other NLP tasks. Unlike previous methods using bilingual parallel corpora, this paper presents a new method f...