Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.
Richard Cornelius SuwandiZhidi LinYiyong SunZhiguo WangLei ChengFeng YinPublished in: FUSION (2022)
Keyphrases
- gaussian process regression
- multidimensional data
- distributed learning
- gaussian processes
- covariance function
- gaussian process
- spatial data
- data warehouse
- collaborative learning
- r tree
- range queries
- data visualization
- data structure
- similarity search
- knowledge integration
- data cube
- scientific data
- grid computing
- index structure
- expectation maximization
- learning process
- image segmentation
- maximum likelihood
- multi dimensional