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...
Blogs have the aordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, exible systems integrating blogs provide user-f...
Abstract--Uintah is a highly parallel and adaptive multiphysics framework created by the Center for Simulation of Accidental Fires and Explosions in Utah. Uintah, which is built up...
SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re
ecting the rst principles underlying the objective process through experi...
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...