Bayesian networks and chained classifiers based on SVM for traditional chinese medical prescription generation.
Yingpei WuChaohan PeiChunyang RuanRuofei WangYun YangYanchun ZhangPublished in: World Wide Web (2022)
Keyphrases
- support vector
- bayesian networks
- svm classifier
- naive bayes
- training data
- support vector machine svm
- support vector machine
- classification algorithm
- probabilistic classifiers
- feature selection
- support vector machine classifiers
- improves the classification accuracy
- training set
- train a support vector machine
- high classification accuracy
- knn
- decision boundary
- classification method
- linear support vector machines
- text classifiers
- support vectors
- bayesian classifiers
- svm classification
- bayesian network classifiers
- ensemble classifier
- rule based classifier
- small sample
- bayes classifier
- majority voting
- decision trees
- linear svm
- feature vectors
- naive bayes classifier
- unbalanced data
- discriminative classifiers
- multi class
- training samples
- logistic regression
- traditional chinese medicine
- classifier training
- binary classification
- input features
- feature ranking
- image classification
- generalization ability
- classification accuracy
- probabilistic model
- rbf kernel
- medical diagnosis
- kernel support vector machines
- graphical models
- binary classifiers
- training examples
- incomplete data
- imbalanced data
- highest accuracy
- probability distribution
- k nearest neighbor
- machine learning algorithms
- conditional probabilities
- multi class svm
- hyperplane
- large margin classifiers
- structure learning
- multi class classification
- multiple kernel learning
- decision function
- fold cross validation
- decision forest