An asymmetric stagewise least square loss function for imbalanced classification.
Guibiao XuBao-Gang HuJosé C. PríncipePublished in: IJCNN (2014)
Keyphrases
- generalization ability
- loss function
- support vector
- support vector machine
- least squares
- empirical risk
- pairwise
- classification accuracy
- learning to rank
- logistic regression
- risk minimization
- feature selection
- hinge loss
- boosting framework
- kernel function
- binary classification
- class imbalance
- boosting algorithms
- reproducing kernel hilbert space
- bayes rule
- svm classifier
- training samples
- model selection
- stochastic gradient descent
- decision function
- multi class
- feature space
- solution path
- decision trees
- machine learning