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» A Logical Framework to Deal with Variability
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AAAI
2008
15 years 2 months ago
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Hoifung Poon, Pedro Domingos, Marc Sumner
ASWC
2008
Springer
15 years 1 months ago
Bounded Ontological Consistency for Scalable Dynamic Knowledge Infrastructures
Both semantic web applications and individuals are in need of knowledge infrastructures that can be used in dynamic and distributed environments where different autonomous entities...
Maciej Zurawski, Alan Smaill, Dave Robertson
UAI
1997
15 years 1 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
QEST
2010
IEEE
14 years 9 months ago
Reasoning about MDPs as Transformers of Probability Distributions
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
Vijay Anand Korthikanti, Mahesh Viswanathan, Gul A...
SRDS
1999
IEEE
15 years 3 months ago
Formal Hazard Analysis of Hybrid Systems in cTLA
Hybrid systems like computer-controlled chemical plants are typical safety critical distributed systems. In present practice, the safety of hybrid systems is guaranteed by hazard ...
Peter Herrmann, Heiko Krumm