A loss function for classification based on a robust similarity metric.
Abhishek SinghJosé C. PríncipePublished in: IJCNN (2010)
Keyphrases
- loss function
- similarity metric
- support vector
- hinge loss
- logistic regression
- classification accuracy
- decision trees
- pairwise
- similarity metrics
- euclidean metric
- similarity measure
- support vector machine
- risk minimization
- image classification
- support vector machine svm
- machine learning
- empirical risk
- feature vectors
- decision rules
- feature selection
- boosting framework
- reproducing kernel hilbert space
- benchmark datasets
- text classification
- feature space
- training data
- feature extraction
- class labels
- classification algorithm
- training samples
- supervised learning
- training set