Stability and Convergence of Principal Component Learning Algorithms.
Wei-Yong YanPublished in: SIAM J. Matrix Anal. Appl. (1998)
Keyphrases
- principal components
- learning algorithm
- principal component analysis
- multivariate data
- machine learning algorithms
- convergence rate
- dimensionality reduction
- machine learning
- learning problems
- kernel space
- learning rate
- hyperplane
- covariance matrix
- principal component regression
- correlation coefficient
- learning tasks
- iterative algorithms
- data mining
- training samples
- supervised learning
- training data
- principal curves
- low dimensional
- dimension reduction
- active learning
- support vector
- reinforcement learning
- convergence speed
- image processing
- data sets