This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
This paper studies the problem of resource availability in the context of mobile code for embedded systems such as smart cards. It presents an architecture dedicated to controlling...
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
In order to characterize and improve software architecture visualization practice, the paper derives and constructs a qualitative framework, with seven key areas and 31 features, f...