Large-scale patent classification with min-max modular support vector machines.
Xiao-Lei ChuChao MaJing LiBao-Liang LuMasao UtiyamaHitoshi IsaharaPublished in: IJCNN (2008)
Keyphrases
- min max
- support vector
- classification accuracy
- support vector machine
- large margin classifiers
- cross validation
- svm classifier
- generalization ability
- max min
- learning machines
- classification systems
- pattern recognition
- feature selection
- binary classification
- pattern classification
- kernel logistic regression
- machine learning
- kernel function
- hierarchical text classification
- decision function
- multiobjective optimization
- multi class classification
- feature extraction
- classification scheme
- automatic classification
- support vector machine svm
- loss function
- soft margin
- support vectors
- logistic regression
- learning algorithm
- training set
- training samples
- neural network
- information retrieval
- intellectual property
- svm classification
- model selection
- decision trees
- machine learning methods
- preprocessing
- radial basis function
- feature vectors