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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 6 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IUI
2010
ACM
16 years 3 months ago
Agent-assisted task management that reduces email overload
RADAR is a multiagent system with a mixed-initiative user interface designed to help office workers cope with email overload. RADAR agents observe experts to learn models of their...
Aaron Steinfeld, Andrew Faulring, Asim Smailagic, ...
SAC
2010
ACM
16 years 1 months ago
T2D: a peer to peer trust management system based on disposition to trust
While the trust paradigm is essential to broadly extend the communication between the environment’s actors, the evaluation of trust becomes a challenge when confronted with init...
Rachid Saadi, Jean-Marc Pierson, Lionel Brunie
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