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» Exceptions for Algorithmic Skeletons
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ACL
2012
11 years 11 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
DC
2008
13 years 8 months ago
On implementing omega in systems with weak reliability and synchrony assumptions
We study the feasibility and cost of implementing --a fundamental failure detector at the core of many algorithms--in systems with weak reliability and synchrony assumptions. Intui...
Marcos Kawazoe Aguilera, Carole Delporte-Gallet, H...
CVPR
2006
IEEE
14 years 10 months ago
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, ...
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 8 months ago
The Price of Validity in Dynamic Networks
Massive-scale self-administered networks like Peer-to-Peer and Sensor Networks have data distributed across thousands of participant hosts. These networks are highly dynamic with ...
Mayank Bawa, Aristides Gionis, Hector Garcia-Molin...
MTV
2003
IEEE
154views Hardware» more  MTV 2003»
14 years 2 months ago
Tuning the VSIDS Decision Heuristic for Bounded Model Checking
Bounded Model Checking (BMC) techniques have been used for formal hardware verification, with the help of tools such as GRASP (Generic search Algorithm for Satisfiability Proble...
Ohad Shacham, Emmanuel Zarpas