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UAI
2004
15 years 8 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
FUIN
2008
98views more  FUIN 2008»
15 years 7 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
CORR
2007
Springer
88views Education» more  CORR 2007»
15 years 6 months ago
Target assignment for robotic networks: asymptotic performance under limited communication
— We are given an equal number of mobile robotic agents, and distinct target locations. Each agent has simple integrator dynamics, a limited communication range, and knowledge of...
Stephen L. Smith, Francesco Bullo
JCP
2006
93views more  JCP 2006»
15 years 6 months ago
Reliable Partial Replication of Contents in Web Clusters: Getting Storage without losing Reliability
Traditionally, distributed Web servers have used two strategies for allocating files on server nodes: full replication and full distribution. While full replication provides a high...
José Daniel García, Jesús Car...
FUIN
2007
95views more  FUIN 2007»
15 years 6 months ago
Compositional Systems over Reducible Networks
Abstract. In the paper two notions related to local (distributed) computations are identified and discussed. The first one is the notion of reducible graphs. A graph is reducible...
Antoni W. Mazurkiewicz