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» Optimization of Machine Descriptions for Efficient Use
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AAAI
1998
13 years 10 months ago
Multi Machine Scheduling: An Agent-Based Approach
Scheduling of multiple parallel machinesin the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteedto pro...
Rama Akkiraju, Pinar Keskinocak, Sesh Murthy, Fred...
IJCNN
2006
IEEE
14 years 3 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
AAAI
2008
13 years 11 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
EMNLP
2008
13 years 10 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
EUROPAR
2008
Springer
13 years 11 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...