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Found 5 papers, 1 papers with code
Obsolete Personal Information Update System for the Prevention of Falls among Elderly Patients
We conduct a thorough empirical study for such a model on an elderly personal information base.
Data Obsolescence Detection in the Light of Newly Acquired Valid Observations
Since we work within an uncertain environment characterized by the lack of information, we choose to use a Bayesian network as our representation model and propose a new approximate concept, $\epsilon$-Contradiction.
A Commentary on "Breaking Row and Column Symmetries in Matrix Models"
The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix Models" by Flener et al. (https://link. springer. com/chapter/10. 1007%2F3-540-46135-3_31) describes some of the first work for identifying and analyzing row and column symmetry in matrix models and for efficiently and effectively dealing with such symmetry using static symmetry-breaking ordering constraints.
Piecewise linear approximations of the standard normal first order loss function
When the random variable of interest is normally distributed, the first order loss function can be easily expressed in terms of the standard normal cumulative distribution and probability density function.
Optimization and Control Probability
Confidence-based Reasoning in Stochastic Constraint Programming
In this work we introduce a novel approach, based on sampling, for finding assignments that are likely to be solutions to stochastic constraint satisfaction problems and constraint optimisation problems.
