Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks.
Nir FriedmanRaz KupfermanPublished in: UAI (2006)
Keyphrases
- dimension reduction
- continuous time bayesian networks
- markov processes
- finite state
- stochastic processes
- principal component analysis
- high dimensional
- singular value decomposition
- feature extraction
- low dimensional
- high dimensional data
- cluster analysis
- feature selection
- dimensionality reduction
- linear discriminant analysis
- feature space
- markov chain
- unsupervised learning
- least squares
- markov process
- text classification
- pattern recognition
- support vector