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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
EUROPAR
2010
Springer
15 years 8 months ago
Hierarchical Work-Stealing
Abstract. We study the problem of dynamic load-balancing on hierarchical platforms. In particular, we consider applications involving heavy communications on a distributed platform...
Jean-Noël Quintin, Frédéric Wag...
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
ISPDC
2010
IEEE
15 years 5 months ago
Practical Uniform Peer Sampling under Churn
—Providing independent uniform samples from a system population poses considerable problems in highly dynamic settings, like P2P systems, where the number of participants and the...
Roberto Baldoni, Marco Platania, Leonardo Querzoni...
IPPS
2010
IEEE
15 years 4 months ago
DEBAR: A scalable high-performance de-duplication storage system for backup and archiving
We present DEBAR, a scalable and high-performance de-duplication storage system for backup and archiving, to overcome the throughput and scalability limitations of the state-of-th...
Tianming Yang, Hong Jiang, Dan Feng, Zhongying Niu...