Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test.
Gaia GrossoNicolò LaiMarco LetiziaJacopo PazziniMarco RandoLorenzo RosascoAndrea WulzerMarco ZanettiPublished in: CoRR (2023)
Keyphrases
- data quality
- kernel methods
- kernel function
- feature space
- machine learning
- support vector
- kernel matrix
- data warehouse
- learning problems
- quality management
- kernel ridge regression
- support vector machine
- multiple kernel learning
- data cleaning
- data cleansing
- kernel pca
- graph kernels
- multiple kernel
- kernel matrices
- training data
- reproducing kernel hilbert space
- real world
- positive definite