Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie ChenNannan CaoKian Hsiang LowRuofei OuyangColin Keng-Yan TanPatrick JailletPublished in: CoRR (2013)
Keyphrases
- covariance matrix
- low rank
- gaussian process regression
- eigendecomposition
- covariance matrices
- gaussian process
- gaussian processes
- singular value decomposition
- matrix factorization
- convex optimization
- missing data
- semi supervised
- linear combination
- principal component analysis
- high order
- high dimensional data
- kernel matrix
- sample size
- closed form
- data sets
- objective function
- machine learning
- similarity measure
- probabilistic model