Stochastic Support Vector Machine for Classifying and Regression of Random Variables.
Maryam AbaszadeSohrab EffatiPublished in: Neural Process. Lett. (2018)
Keyphrases
- random variables
- stochastic optimization problems
- support vector machine
- support vector regression
- graphical models
- stochastic processes
- support vector
- probability distribution
- regression model
- distribution function
- bayesian networks
- conditionally independent
- normal distribution
- joint distribution
- conditional independence
- independent and identically distributed
- latent variables
- feature selection
- conditional probabilities
- training set
- feature vectors
- kernel function
- machine learning
- conditional probability distributions
- gaussian processes
- model selection
- statistically independent
- conditional distribution
- joint probability distribution
- knn
- markov chain
- marginal distributions
- objective function
- reinforcement learning
- training data
- random vectors
- kernel methods