Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation.
Kian Hsiang LowJiangbo YuJie ChenPatrick JailletPublished in: CoRR (2014)
Keyphrases
- big data
- gaussian process regression
- low rank representation
- cloud computing
- gaussian process
- gaussian processes
- data analysis
- social media
- data management
- data processing
- low rank
- knowledge discovery
- business intelligence
- closed form
- supervised learning
- hyperparameters
- data sets
- databases
- training data
- bayesian framework
- data warehousing
- database
- query processing