Empirical strategy for stretching probability distribution in neural-network-based regression.
Eunho KooHyungjun KimPublished in: Neural Networks (2021)
Keyphrases
- probability distribution
- neural network
- regression model
- linear regression
- posterior probability
- genetic algorithm
- search strategy
- probability models
- regression analysis
- conditional independence
- model selection
- support vector regression
- random variables
- selection strategy
- bayesian networks
- machine learning
- database
- regression methods
- expected error
- boltzmann distribution
- gaussian processes
- logistic regression
- control system
- lower bound
- feature space
- image processing
- search engine
- data sets