Sensitivity Analysis with Cross-Validation for Feature Selection and Manifold Learning.
Cuixian ChenYishi WangYaw ChangKarl RicanekPublished in: ISNN (1) (2012)
Keyphrases
- sensitivity analysis
- cross validation
- manifold learning
- feature selection
- model selection
- dimensionality reduction
- support vector
- dimension reduction
- feature extraction
- feature space
- low dimensional
- semi supervised
- hyperparameters
- high dimensional
- high dimensional data
- high dimensionality
- training set
- sparse representation
- unsupervised learning
- machine learning
- feature set
- classification accuracy
- support vector machine
- input space
- neural network
- variational inequalities
- principal component analysis
- sample size
- multi class
- linear discriminant analysis
- pattern recognition
- ls svm
- kernel methods
- clustering algorithm