Set Learning for Accurate and Calibrated Models.
Lukas MuttenthalerRobert A. VandermeulenQiuyi ZhangThomas UnterthinerKlaus-Robert MüllerPublished in: CoRR (2023)
Keyphrases
- accurate models
- prior knowledge
- statistical models
- small number
- learning process
- learning algorithm
- learning systems
- knowledge acquisition
- supervised learning
- reinforcement learning
- unsupervised learning
- complex systems
- probability distribution
- learning tasks
- learning problems
- training data
- neural network
- structured prediction
- dynamic bayesian networks
- hidden variables
- highly accurate
- neural nets
- experimental data
- high quality
- graphical models
- feature space