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» On Structural Analysis of Large Networks
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
OSDI
2002
ACM
16 years 4 months ago
Secure Routing for Structured Peer-to-Peer Overlay Networks
Structured peer-to-peer overlay networks provide a substrate for the construction of large-scale, decentralized applications, including distributed storage, group communication, a...
Miguel Castro, Peter Druschel, Ayalvadi J. Ganesh,...
NIPS
2008
15 years 5 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
CEC
2010
IEEE
15 years 5 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
INFOCOM
2007
IEEE
15 years 10 months ago
Limiting Sybil Attacks in Structured P2P Networks
— One practical limitation of structured peer-to-peer (P2P) networks is that they are frequently subject to Sybil attacks: malicious parties can compromise the network by generat...
Hosam Rowaihy, William Enck, Patrick McDaniel, Tom...