Empirical study on tangent loss function for classification with deep neural networks.
Xu ZhangWenpeng LuYan PanHao WuRongyao WangRui YuPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- empirical studies
- loss function
- neural network
- support vector
- hinge loss
- uci datasets
- pairwise
- logistic regression
- classification accuracy
- risk minimization
- learning to rank
- back propagation
- machine learning
- empirical analysis
- svm classifier
- empirical risk
- bayes rule
- decision trees
- feature extraction
- feature space
- training set
- feature set
- supervised learning
- pattern classification
- semi supervised
- cost sensitive
- benchmark datasets
- improve the classification accuracy
- support vector machine
- boosting algorithms
- training process
- boosting framework
- feature vectors
- regularization term
- precision and recall
- classification algorithm
- markov random field
- training samples