Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs.
Yuhan WuYuanyuan XuWenjie ZhangYing ZhangPublished in: CoRR (2023)
Keyphrases
- gaussian mixture model
- mixture model
- gaussian mixture modeling
- em algorithm
- prior knowledge
- learning process
- speaker recognition
- knowledge base
- learning algorithm
- feature vectors
- expectation maximization
- knowledge representation
- feature space
- gaussian distribution
- gaussian mixture
- speaker identification
- probabilistic model
- maximum likelihood
- supervised learning
- pattern recognition
- background subtraction
- probability density function
- feature representation
- bayesian networks
- variational bayes