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ESA
2008
Springer
95views Algorithms» more  ESA 2008»
13 years 10 months ago
Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count
Abstract. We study online scheduling to minimize flow time plus energy usage in the dynamic speed scaling model. We devise new speed scaling functions that depend on the number of ...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...
MVA
1994
113views Computer Vision» more  MVA 1994»
13 years 10 months ago
A Modified Simulation Environment for Reconfigurable Multicomputer Systems in Digital Image Processing Applications
In our work we improve the EPPI programming environment, which was made in the University of Castilla - la Mancha one year ago. EPPI is a tool for simulating parallel algorithms t...
Francisco J. Quiles, Antonio Jose Garrido del Solo
ACL
2009
13 years 6 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
ATAL
2009
Springer
13 years 6 months ago
Decentralized Learning in Wireless Sensor Networks
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
Mihail Mihaylov, Karl Tuyls, Ann Nowé
SIAMIS
2011
13 years 4 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang