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176
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NIPS
1994
15 years 8 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
139
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CONCURRENCY
2004
15 years 6 months ago
2004
Distributed simulation applications often rely on middleware to provide services to support their execution over distributed computing environments. Such middleware spans many lev...
182
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract-- It is desirable to limit the amount of communication and computation generated by each agent in a large multi-agent system. Event- and self-triggered control strategies ...
196
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JMLR
2010
15 years 1 months ago
2010
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
223
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COMSUR
2011
14 years 6 months ago
2011
Sensor networks with battery-powered nodes can seldom simultaneously meet the design goals of lifetime, cost, sensing reliability and sensing and transmission coverage. Energy-har...