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» Structural Inference of Hierarchies in Networks
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ICML
2005
IEEE
16 years 2 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
BMCBI
2006
118views more  BMCBI 2006»
15 years 1 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
MANSCI
2007
107views more  MANSCI 2007»
15 years 1 months ago
Credit Risk in a Network Economy
We develop a structural model of credit risk in a network economy, where any firm can lend to any other firm, so that each firm is subject to counterparty risk either from dire...
Didier Cossin, Henry Schellhorn
DSD
2008
IEEE
130views Hardware» more  DSD 2008»
15 years 8 months ago
On the Need for Passive Monitoring in Sensor Networks
—Debugging and analyzing Wireless Sensor Networks (WSNs) are important tasks for improving the quality and performance of the network. In this paper, Pimoto is to be presented, w...
Abdalkarim Awad, Rodrigo Nebel, Reinhard German, F...
COLCOM
2007
IEEE
15 years 7 months ago
Kademlia for data storage and retrieval in enterprise networks
— Centralized organization of current enterprise networks doesn’t represent an ideal solution in terms of information security and reliability. Denial of service, packet filter...
Natalya Fedotova, Stefano Fanti, Luca Veltri