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ICML
2009
IEEE
14 years 8 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
ICCAD
2003
IEEE
124views Hardware» more  ICCAD 2003»
14 years 4 months ago
Gradual Relaxation Techniques with Applications to Behavioral Synthesis
Heuristics are widely used for solving computational intractable synthesis problems. However, until now, there has been limited effort to systematically develop heuristics that ca...
Zhiru Zhang, Yiping Fan, Miodrag Potkonjak, Jason ...
INFOCOM
2010
IEEE
13 years 6 months ago
Max-Contribution: On Optimal Resource Allocation in Delay Tolerant Networks
—This is by far the first paper considering joint optimization of link scheduling, routing and replication for disruption-tolerant networks (DTNs). The optimization problems for...
Kyunghan Lee, Yung Yi, Jaeseong Jeong, Hyungsuk Wo...
ANOR
2005
160views more  ANOR 2005»
13 years 7 months ago
Packing r-Cliques in Weighted Chordal Graphs
In Hell et al. (2004), we have previously observed that, in a chordal graph G, the maximum number of independent r-cliques (i.e., of vertex disjoint subgraphs of G, each isomorphic...
Pavol Hell, Sulamita Klein, Loana Tito Nogueira, F...
SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 2 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu