Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data.
Xinran WuXiang ChenKun YuePublished in: AICAS (2023)
Keyphrases
- parameter learning
- high dimensional data
- latent variables
- bayesian networks
- approximate inference
- hidden variables
- max margin
- probabilistic model
- structure learning
- low dimensional
- dimensionality reduction
- generative model
- latent space
- high dimensional
- random variables
- data sets
- statistical learning
- nearest neighbor
- expectation maximization
- prior knowledge
- graphical models
- data points
- gaussian process
- posterior distribution
- maximum likelihood
- data analysis
- probabilistic inference
- em algorithm
- markov random field
- parameter estimation
- conditional random fields
- manifold learning
- conditional independence
- missing values
- dimension reduction
- input data
- principal component analysis
- training data
- lower dimensional
- image segmentation
- supervised learning
- information retrieval
- message passing
- belief propagation
- topic models
- hidden markov models
- training set
- probability distribution