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...
NoCs present a possible communication infrastructure solution to deal with increased design complexity and shrinking time-to-market. The communication infrastructure is a signific...
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
Peer-to-Peer systems are based on the concept of resources localization and mutualization in dynamic context. In specific environment such as mobile networks, characterized by high...
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...