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ICAC
2008
IEEE
15 years 8 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
120
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ICCCN
2008
IEEE
15 years 8 months ago
Localized Bridging Centrality for Distributed Network Analysis
— Centrality is a concept often used in social network analysis to study different properties of networks that are modeled as graphs. We present a new centrality metric called Lo...
Soumendra Nanda, David Kotz
CVPR
2007
IEEE
15 years 8 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
IPPS
2007
IEEE
15 years 8 months ago
Determining the Minimum Energy Consumption using Dynamic Voltage and Frequency Scaling
While improving raw performance is of primary interest to most users of high-performance computers, energy consumption also is a critical concern. Some microprocessors allow volta...
Min Yeol Lim, Vincent W. Freeh
IPPS
2007
IEEE
15 years 8 months ago
File Creation Strategies in a Distributed Metadata File System
As computing breaches petascale limits both in processor performance and storage capacity, the only way that current and future gains in performance can be achieved is by increasi...
Ananth Devulapalli, Pete Wyckoff
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