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» Structural Inference of Hierarchies in Networks
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IMC
2005
ACM
15 years 7 months ago
Exploiting Underlying Structure for Detailed Reconstruction of an Internet-scale Event
Network “telescopes” that record packets sent to unused blocks of Internet address space have emerged as an important tool for observing Internet-scale events such as the spre...
Abhishek Kumar, Vern Paxson, Nicholas Weaver
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 5 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
CCS
2010
ACM
15 years 1 months ago
In search of an anonymous and secure lookup: attacks on structured peer-to-peer anonymous communication systems
The ability to locate random relays is a key challenge for peer-to-peer (P2P) anonymous communication systems. Earlier attempts like Salsa and AP3 used distributed hash table look...
Qiyan Wang, Prateek Mittal, Nikita Borisov
NIPS
2008
15 years 2 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould
UAI
2003
15 years 2 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...