We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
Despite of their applicability betweennness constraints have (to the author’s knowledge) hardly been considered from the random structures point of view. They are essentially di...
— We come up with novel quantized averaging algorithms on synchronous and asynchronous communication networks with fixed, switching and random topologies. The implementation of ...
We prove that any graph G with n points has a distribution T over spanning trees such that for any edge (u, v) the expected stretch ET ∼T [dT (u, v)/dG(u, v)] is bounded by ˜O(...
Abstract. Variables and constraints in problem domains are often distributed. These distributed constraint satisfaction problems (DCSPs) lend themselves to multiagent solutions. Mo...