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» Locality in structured peer-to-peer networks
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 9 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
SIGMETRICS
2004
ACM
131views Hardware» more  SIGMETRICS 2004»
14 years 1 months ago
Failure recovery for structured P2P networks: protocol design and performance evaluation
Measurement studies indicate a high rate of node dynamics in p2p systems. In this paper, we address the question of how high a rate of node dynamics can be supported by structured...
Simon S. Lam, Huaiyu Liu
CN
2006
113views more  CN 2006»
13 years 7 months ago
Failure recovery for structured p2p networks: Protocol design and performance under churn
Measurement studies indicate a high rate of node dynamics in p2p systems. In this paper, we address the question of how high a rate of node dynamics can be supported by structured...
Simon S. Lam, Huaiyu Liu
CPE
1997
Springer
79views Hardware» more  CPE 1997»
13 years 11 months ago
Storage Alternatives for Large Structured State Spaces
We consider the problem of storing and searching a large state space obtained from a high-level model such as a queueing network or a Petri net. After reviewing the traditional te...
Gianfranco Ciardo, Andrew S. Miner
FLAIRS
2001
13 years 9 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...