Toward a generic representation of random variables for machine learning.
Philippe DonnatGautier MartiPhilippe VeryPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- random variables
- machine learning
- probability distribution
- graphical models
- stochastic optimization problems
- bayesian networks
- conditional independence
- latent variables
- directed acyclic graph
- distribution function
- stochastic processes
- marginal distributions
- joint probability distribution
- joint distribution
- additive noise
- state space
- independent and identically distributed
- information extraction
- probability density
- lead time
- conditional probabilities
- conditional distribution
- multiscale
- control system
- failure rate
- belief propagation
- conditionally independent