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UAI
2004
13 years 10 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
CORR
2011
Springer
192views Education» more  CORR 2011»
13 years 4 months ago
On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms
—The subject of this work is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal prop...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
PRICAI
2000
Springer
14 years 21 days ago
A POMDP Approximation Algorithm That Anticipates the Need to Observe
This paper introduces the even-odd POMDP, an approximation to POMDPs in which the world is assumed to be fully observable every other time step. The even-odd POMDP can be converte...
Valentina Bayer Zubek, Thomas G. Dietterich
DFG
2009
Springer
14 years 3 months ago
A Survey on Approximation Algorithms for Scheduling with Machine Unavailability
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
Florian Diedrich, Klaus Jansen, Ulrich M. Schwarz,...
ICPR
2008
IEEE
14 years 3 months ago
An approximate algorithm for median graph computation using graph embedding
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
Miquel Ferrer, Ernest Valveny, Francesc Serratosa,...