The covariance matrix of Green's functions and its application to machine learning.
Tomoko NagaiPublished in: CoRR (2020)
Keyphrases
- covariance matrix
- machine learning
- covariance matrices
- sample size
- geometrical interpretation
- mahalanobis distance
- principal component analysis
- positive definite
- eigenvalues and eigenvectors
- correlation matrix
- gaussian mixture
- pseudo inverse
- feature selection
- learning tasks
- eigendecomposition
- data mining
- objective function
- model selection
- transformation matrix
- multivariate gaussian
- image processing
- learning algorithm
- multivariate normal
- vector space
- least squares
- lower bound
- computational complexity
- mahalanobis metric