ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning.
Zhenning ShiChangsheng DongXueshuo XieBin PanAlong HeLi TaoPublished in: CoRR (2023)
Keyphrases
- ensemble learning
- denoising
- probabilistic model
- image denoising
- graphical models
- generalization ability
- image processing
- ensemble methods
- random forest
- ensemble classifier
- expectation maximization
- weak learners
- bayesian networks
- unlabeled data
- base classifiers
- concept drift
- feature selection
- neural network
- mutual subspace method
- prediction accuracy
- active learning
- training data
- learning algorithm