Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women.
Marzieh AjirakCassandra HeiselmanAnna FuchsMia HeiligensteinKimberly HerreraDiana GarrettoPetar M. DjuricPublished in: EUSIPCO (2021)
Keyphrases
- categorical data
- bayesian nonparametric
- dimensionality reduction
- pregnant women
- cluster analysis
- mixture model
- inverse reinforcement learning
- gaussian process
- high dimensional data
- unsupervised learning
- variational inference
- feature extraction
- low dimensional
- high dimensional
- pattern recognition
- principal component analysis
- attribute values
- feature space
- regression model
- computer vision
- language model
- data points
- dimension reduction
- feature selection
- data mining