Computation of probabilistic linear programming problems involving normal and log-normal random variables with a joint constraint.
N. P. SahooM. P. BiswalPublished in: Int. J. Comput. Math. (2005)
Keyphrases
- random variables
- problems involving
- log normal
- linear programming
- bayesian networks
- graphical models
- conditional probabilities
- probability distribution
- conditionally independent
- probabilistic model
- conditional independence
- joint distribution
- latent variables
- joint probability distributions
- distribution function
- solving complex
- linear arithmetic constraints
- optimization problems
- decision variables
- linear program
- random vectors
- stochastic optimization problems
- marginal distributions
- belief networks
- conditional probability distributions
- independent and identically distributed
- belief propagation
- normal distribution
- np hard
- multiple objectives
- probabilistic inference
- conditional distributions
- joint probability distribution
- face recognition
- probabilistic graphical models
- generative model
- dynamic programming
- failure rate
- directed acyclic graph
- evolutionary algorithm
- search space
- objective function
- neural network