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ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 8 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
JACM
2002
163views more  JACM 2002»
13 years 7 months ago
Formal verification of standards for distance vector routing protocols
We show how to use an interactive theorem prover, HOL, together with a model checker, SPIN, to prove key properties of distance vector routing protocols. We do three case studies: ...
Karthikeyan Bhargavan, Davor Obradovic, Carl A. Gu...
PADS
1999
ACM
14 years 10 days ago
Performance Prediction Tools for Parallel Discrete-Event Simulation
We have developed a set of performance prediction tools which help to estimate the achievable speedups from parallelizing a sequential simulation. The tools focus on two important...
Chu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanja...
SIGSOFT
2003
ACM
14 years 8 months ago
Towards scalable compositional analysis by refactoring design models
Automated finite-state verification techniques have matured considerably in the past several years, but state-space explosion remains an obstacle to their use. Theoretical lower b...
Yung-Pin Cheng, Michal Young, Che-Ling Huang, Chia...
NMR
2004
Springer
14 years 1 months ago
Frame consistency: computing with causal explanations
This paper presents a computational model for reasoning with causal explanations of observations within the framework of Abductive Event Calculus (AEC). The model is based on abdu...
Andrea Bracciali, Antonis C. Kakas