Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs.
Dominik KirchhoffSonja KuhntPublished in: CoRR (2020)
Keyphrases
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- data matrix
- gaussian process models
- singular values
- linear combination
- matrix factorization
- missing data
- low rank and sparse
- gaussian process
- convex optimization
- semi supervised
- gaussian processes
- high order
- high dimensional data
- human pose estimation
- machine learning
- missing values
- collaborative filtering
- least squares
- nearest neighbor