Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities.
Xintong ShiWenzhi CaoSebastian RaschkaPublished in: CoRR (2021)
Keyphrases
- conditional probabilities
- neural network
- belief nets
- probabilistic inference
- probability distribution
- probabilistic model
- bayesian networks
- random variables
- belief networks
- joint distribution
- back propagation
- bayesian model
- prior probabilities
- artificial neural networks
- posterior probability
- graphical models
- bayesian belief networks
- network parameters
- main idea consists
- class labels
- discrete random variables
- probability measures
- rank correlation
- multilayer perceptron
- bayesian network structure
- activation function
- neural network model
- markov random field
- decision trees
- machine learning