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Showing 1 to 3 of 3 for “"Submodular Function Optimization"”.
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Generating secret in a network
… capacity as mutual dependence. New identities in submodular function optimization and matroid theory are discovered in proving these results. A framework is also developed to view matroids as graphs, allowing certain theory on graphs to generalize to matroids. In order to study cooperation schemes …
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Machine learning for selecting parallel I/O benchmark applications
… these bottlenecks and to guide the performance optimization of poor performing applications, is therefore an important problem. We investigate the use of submodular function maximization as a way to select a set of I/O benchmark applications using measures of similarities between applications …
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Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination
… in the coordination achieved by means of submodular function optimization. Submodularity encodes the diminishing returns property that arises in multi-robot coordination. For example, the marginal gain of assigning an additional robot to track the same target diminishes as the number of …