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CLOUDCOM
2009
Springer
15 years 11 months ago
Cost-Minimizing Scheduling of Workflows on a Cloud of Memory Managed Multicore Machines
Workflows are modeled as hierarchically structured directed acyclic graphs in which vertices represent computational tasks, referred to as requests, and edges represent precedent c...
Nicolas G. Grounds, John K. Antonio, Jeffrey T. Mu...
COLING
2008
15 years 8 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
EMNLP
2008
15 years 8 months ago
Coarse-to-Fine Syntactic Machine Translation using Language Projections
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
Slav Petrov, Aria Haghighi, Dan Klein
IPCO
2008
114views Optimization» more  IPCO 2008»
15 years 8 months ago
The Stochastic Machine Replenishment Problem
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Kamesh Munagala, Peng Shi
METMBS
2004
151views Mathematics» more  METMBS 2004»
15 years 8 months ago
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis...