Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
Accurate prediction of operator execution time is a prerequisite for database query optimization. Although extensively studied for conventional disk-based DBMSs, cost modeling in ...
Stefan Manegold, Peter A. Boncz, Martin L. Kersten
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Negative bias temperature instability (NBTI) in MOSFETs is one of the major reliability challenges in nano-scale technology. This paper presents an efficient technique to characte...
Kunhyuk Kang, Kee-Jong Kim, Ahmad E. Islam, Muhamm...