A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data .
Ricardo Pio MontiAapo HyvärinenPublished in: UAI (2018)
Keyphrases
- high dimensional data
- probabilistic model
- dimensionality reduction
- high dimensional
- low dimensional
- unsupervised learning
- learning algorithm
- data sets
- latent factors
- nearest neighbor
- data points
- data analysis
- factor analysis
- supervised learning
- active learning
- prior knowledge
- similarity measure
- subspace clustering
- decision trees