Manifold Learning for Latent Variable Inference in Dynamical Systems.
Ronen TalmonStéphane MallatHitten ZaveriRonald R. CoifmanPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- dynamical systems
- manifold learning
- latent variables
- latent variable models
- structured prediction
- latent space
- probabilistic model
- low dimensional
- dimensionality reduction
- semi supervised
- high dimensional
- prior knowledge
- state space
- random variables
- dimension reduction
- nonlinear dynamical systems
- topic models
- real valued
- high dimensional data
- gaussian process
- predictive state representations
- hidden variables
- feature extraction
- bayesian inference
- bayesian networks
- feature space
- neural network
- principal component analysis
- data points
- probability distribution
- pattern recognition
- data sets