Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation.
Rohit TripathyIlias BilionisMarcial GonzalezPublished in: J. Comput. Phys. (2016)
Keyphrases
- gaussian processes
- dimensionality reduction
- high dimensional
- low dimensional
- gaussian process
- high dimensionality
- high dimensional data
- data points
- feature space
- gaussian process regression
- multi task learning
- covariance function
- preference learning
- human pose estimation
- multi task
- gaussian process models
- feature selection
- principal component analysis
- pattern recognition
- embedding space
- feature extraction
- nearest neighbor
- hyperparameters
- regression model
- parameter space
- missing values
- em algorithm
- pairwise
- image processing