MPCE: A Maximum Probability Based Cross Entropy Loss Function for Neural Network Classification.
Yangfan ZhouXin WangMingchuan ZhangJunlong ZhuRuijuan ZhengQingtao WuPublished in: IEEE Access (2019)
Keyphrases
- loss function
- cross entropy
- support vector
- neural network
- bayes rule
- classification accuracy
- log likelihood
- pairwise
- maximum likelihood
- learning to rank
- decision trees
- probability distribution
- language modeling
- machine learning
- multi layer perceptron
- support vector machine svm
- feed forward
- supervised learning
- evaluation metrics
- support vector machine
- benchmark datasets
- text classification
- radial basis function
- recurrent neural networks
- density estimation
- feature vectors
- artificial neural networks
- error function
- bayesian networks
- feature extraction