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» Inferring Network Invariants Automatically
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POPL
2010
ACM
14 years 4 months ago
Low-Level Liquid Types
We present Low-Level Liquid Types, a refinement type system for C based on Liquid Types. Low-Level Liquid Types combine refinement types with three key elements to automate verifi...
Ming Kawaguchi, Patrick Maxim Rondon, Ranjit Jhala
IEEEARES
2006
IEEE
14 years 1 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
CCS
2003
ACM
14 years 18 days ago
Incentive-based modeling and inference of attacker intent, objectives, and strategies
Although the ability to model and infer Attacker Intent, Objectives and Strategies (AIOS) may dramatically advance the literature of risk assessment, harm prediction, and predicti...
Peng Liu, Wanyu Zang
BMCBI
2005
169views more  BMCBI 2005»
13 years 7 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
HT
2005
ACM
14 years 28 days ago
Searching a file system using inferred semantic links
We describe Eureka, a file system search engine that takes into account the inherent relationships among files in order to improve the rankings of search results. The key idea b...
Deepavali Bhagwat, Neoklis Polyzotis