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UAI
2004
13 years 8 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
BMCBI
2010
164views more  BMCBI 2010»
13 years 7 months ago
Investigating the validity of current network analysis on static conglomerate networks by protein network stratification
Background: A molecular network perspective forms the foundation of systems biology. A common practice in analyzing protein-protein interaction (PPI) networks is to perform networ...
Minlu Zhang, Long J. Lu
IGPL
2010
125views more  IGPL 2010»
13 years 5 months ago
A normative multiagent approach to requirements engineering
In this paper we present a new model for the requirements analysis of a system. We offer a conceptual model defined following a visual modeling language, called dependence network...
Serena Villata
ACSAC
2003
IEEE
14 years 10 days ago
Efficient Minimum-Cost Network Hardening Via Exploit Dependency Graphs
In-depth analysis of network security vulnerability must consider attacker exploits not just in isolation, but also in combination. The general approach to this problem is to comp...
Steven Noel, Sushil Jajodia, Brian O'Berry, Michae...
JSW
2008
136views more  JSW 2008»
13 years 7 months ago
Collaborative Product Configuration: Formalization and Efficient Algorithms for Dependency Analysis
- In the Software Product Line approach, product configuration is a key activity in which stakeholders choose features for a product. This activity is critical in the sense that ca...
Marcílio Mendonça, Donald D. Cowan, ...