Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification.
Mark A. DavenportRichard G. BaraniukClayton D. ScottPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2010)
Keyphrases
- neyman pearson
- support vector
- support vector machine
- binary classification
- neural network
- type ii
- learning machines
- svm classifier
- classification accuracy
- soft margin
- feature selection
- large margin classifiers
- logistic regression
- cross validation
- generalization ability
- data sets
- image segmentation
- learning algorithm
- machine learning methods
- machine learning algorithms
- kernel function
- multi class
- feature vectors