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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
ICSE
2008
IEEE-ACM
14 years 8 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience bac...
Thomas Zimmermann, Nachiappan Nagappan
DAIS
2006
13 years 9 months ago
Intelligent Dependability Services for Overlay Networks
Application-level overlays have emerged as a useful means of offering network services that are not supported by the underlying physical network. Most overlays employ proprietary d...
Barry Porter, Geoff Coulson, Daniel Hughes
ICOIN
2001
Springer
14 years 11 days ago
Performance Analysis of QoS Routing with Network Dependant Delay Cost
This paper investigates the problem of path calcul ation of multiple metric routing. Toda ’s Internet routing is based on a single metric path selecting algorithm. Single metric...
Hahnearl Jeon, Sung-Dae Kim, Young Joon Kim, Hyung...
CCS
2007
ACM
14 years 2 months ago
Topological analysis of network attack vulnerability
: To understand overall vulnerability to network attack, one must consider attacker exploits not just in isolation, but also in combination. That is, one must analyze how low-level...
Sushil Jajodia