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» Randomness and halting probabilities
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CEC
2005
IEEE
15 years 9 months ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
101
Voted
SPDP
1991
IEEE
15 years 7 months ago
Optimal randomized algorithms for multipacket and cut through routing on the mesh
In this paper, we present a randomized algorithm for the multipacket (i.e., k − k) routing problem on an n × n mesh. The algorithm completes with high probability in at the mos...
Sanguthevar Rajasekaran, Mukund Raghavachari
118
Voted
ATAL
2008
Springer
15 years 5 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
147
Voted
IM
2008
15 years 3 months ago
Fast and Efficient Restricted Delaunay Triangulation in Random Geometric Graphs
Let G = G(n, r) be a random geometric graph resulting from placing n nodes uniformly at random in the unit square (disk) and connecting every two nodes if and only if their Euclide...
Chen Avin
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 3 months ago
Sensor Networks with Random Links: Topology Design for Distributed Consensus
—In a sensor network, in practice, the communication among sensors is subject to: 1) errors that can cause failures of links among sensors at random times; 2) costs; and 3) const...
Soummya Kar, José M. F. Moura