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JMLR
2008
230views more  JMLR 2008»
14 years 10 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
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...
ECTEL
2007
Springer
15 years 4 months ago
An Interoperability Infrastructure for Distributed Feed Networks
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...
Fridolin Wild, Steinn E. Sigurðarson, Stefan S...
IPPS
2010
IEEE
14 years 7 months ago
Improving the performance of Uintah: A large-scale adaptive meshing computational framework
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...
Justin Luitjens, Martin Berzins
DIS
1998
Springer
15 years 2 months ago
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
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...
Takashi Washio, Hiroshi Motoda
ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
14 years 10 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
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...
Kasturi Chatterjee, Shu-Ching Chen