Neural kernel mapping SVM model based on multi-head self-attention for classification of Chinese meteorological disaster warning texts.
Muhua WangWei TangJianzhong HuiHanhua QuYanpeng LiLei CuiTianyue WangJidong HanPublished in: Multim. Tools Appl. (2024)
Keyphrases
- support vector
- support vector machine svm
- support vector machine
- svm classification
- kernel function
- feature space
- classification method
- svm classifier
- histogram intersection kernel
- improves the classification accuracy
- feature vectors
- generalization ability
- kernel parameters
- feature selection
- classification algorithm
- pattern recognition
- kernel methods
- kernel machines
- feature extraction
- linearly separable
- neural network
- high dimensional feature space
- high classification accuracy
- polynomial kernels
- multi class
- decision trees
- rbf kernel
- decision function
- chinese texts
- tree kernels
- mercer kernel
- decision boundary
- linear svm
- kernel learning
- training set
- classification accuracy
- multiple kernel learning
- string kernels
- machine learning
- fuzzy support vector machine
- image classification
- least squares support vector machine
- cost sensitive
- model selection
- text classification
- standard svm
- kernel space
- focus of attention
- kernel principal component analysis
- training data
- gaussian kernel