Learning Mixtures of Random Utility Models with Features from Incomplete Preferences.
Zhibing ZhaoAo LiuLirong XiaPublished in: IJCAI (2022)
Keyphrases
- learned models
- learning models
- prior knowledge
- learning process
- online learning
- feature extraction
- learning algorithm
- structured prediction
- unsupervised learning
- supervised learning
- active learning
- knowledge acquisition
- parameter estimation
- learning systems
- learning tasks
- image features
- computational models
- factor analyzers
- machine learning
- decision making
- predictive power
- decision theoretic
- parametric models
- gaussian mixture
- reinforcement learning
- classification models
- machine learning algorithms
- feature vectors
- em algorithm
- low level