Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks.
Nir FriedmanRaz KupfermanPublished in: CoRR (2012)
Keyphrases
- dimension reduction
- continuous time bayesian networks
- markov processes
- principal component analysis
- finite state
- feature extraction
- stochastic processes
- high dimensional
- low dimensional
- variational approximation
- cluster analysis
- singular value decomposition
- high dimensional data
- dimensionality reduction
- feature selection
- high dimensionality
- unsupervised learning
- markov chain
- linear discriminant analysis
- latent variables
- feature space
- preprocessing
- computer vision
- data points
- probability distribution
- active learning
- bayesian networks
- image sequences