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AMAI
2008
Springer
15 years 6 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
RV
2010
Springer
220views Hardware» more  RV 2010»
15 years 4 months ago
Runtime Verification with the RV System
The RV system is the first system to merge the benefits of Runtime Monitoring with Predictive Analysis. The Runtime Monitoring portion of RV is based on the successful Monitoring O...
Patrick O'Neil Meredith, Grigore Rosu
230
Voted
POPL
2011
ACM
14 years 9 months ago
Making prophecies with decision predicates
We describe a new algorithm for proving temporal properties expressed in LTL of infinite-state programs. Our approach takes advantage of the fact that LTL properties can often be...
Byron Cook, Eric Koskinen
LICS
2003
IEEE
16 years 18 hour ago
New Directions in Instantiation-Based Theorem Proving
We consider instantiation-based theorem proving whereby instances of clauses are generated by certain inferences, and where inconsistency is detected by propositional tests. We gi...
Harald Ganzinger, Konstantin Korovin