Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification.
Arthur TenenhausAlain GironEmmanuel ViennetMichel BéraGilbert SaportaBernard FertilPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- binary classification
- nonlinear dimensionality reduction
- nonlinear kernel
- support vector
- multi class
- learning problems
- manifold learning
- cost sensitive
- support vector machine
- dimensionality reduction
- multi class classification
- multi label
- generalization error
- low dimensional
- high dimensional data
- kernel methods
- partial least squares
- ensemble methods
- riemannian manifolds
- class imbalance
- unsupervised learning
- semi supervised
- locally linear embedding
- feature space
- feature selection
- data sets
- machine learning
- kernel function
- model selection
- learning algorithm
- cross validation
- prediction accuracy
- text categorization
- dimensionality reduction methods
- high dimensional
- feature extraction