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FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 10 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
ICML
2009
IEEE
14 years 9 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
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
14 years 3 months ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 2 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
FOCS
2003
IEEE
14 years 1 months ago
Switch Scheduling via Randomized Edge Coloring
The essence of an Internet router is an n ¡ n switch which routes packets from input to output ports. Such a switch can be viewed as a bipartite graph with the input and output p...
Gagan Aggarwal, Rajeev Motwani, Devavrat Shah, An ...