High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data.
Konstantin GöblerAnne MiloschewskiMathias DrtonSach MukherjeePublished in: CoRR (2022)
Keyphrases
- mixed data
- high dimensional
- undirected graphical models
- graphical models
- conditional random fields
- data sets
- low dimensional
- knn
- probabilistic model
- data compression
- probabilistic graphical models
- gene regulatory networks
- similarity search
- similarity function
- high dimensional data
- markov networks
- gene expression data
- exact inference
- partition function
- high dimensionality
- approximate inference
- nearest neighbor
- dimensionality reduction
- clustering algorithm
- posterior distribution
- graph structure
- random variables
- undirected graph
- structure learning
- generative model
- importance sampling
- higher order
- bayesian networks