Toward a generic representation of random variables for machine learning.
Gautier MartiPhilippe VeryPhilippe DonnatPublished in: CoRR (2015)
Keyphrases
- random variables
- machine learning
- graphical models
- probability distribution
- conditional independence
- joint distribution
- stochastic optimization problems
- latent variables
- bayesian networks
- probability density
- conditional probabilities
- normal distribution
- distribution function
- learning algorithm
- statistical methods
- lead time
- failure rate
- probabilistic graphical models
- additive noise
- conditionally independent
- joint probability distribution
- stochastic processes
- marginal distributions
- directed acyclic graph
- control system
- feature selection
- independent and identically distributed
- conditional distribution
- reinforcement learning
- evolutionary algorithm