Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network.
Shuo YangErkun YangBo HanYang LiuMin XuGang NiuTongliang LiuPublished in: ICML (2022)
Keyphrases
- transition matrix
- neural network
- markov chain
- directed graph
- back propagation
- markov decision process
- artificial neural networks
- fuzzy logic
- neural nets
- decision trees
- recurrent neural networks
- transition probabilities
- rigid body
- radial basis function
- multi label
- fault diagnosis
- class labels
- reinforcement learning
- genetic algorithm
- instance level
- neural network is trained
- multiple annotators
- self organizing maps
- multi layer
- model checking
- linear programming
- active learning
- objective function
- data mining