The classification prognosis models of hepatitis b virus reactivation based on Bayes and support vector machine after feature extraction of genetic algorithm.
Guanpeng WuYihui LiuShuai WangWei HuangTonghai LiuYong YinPublished in: ICNC-FSKD (2016)
Keyphrases
- support vector machine
- feature extraction
- feature vectors
- support vector machine svm
- genetic algorithm
- support vector
- classification models
- decision trees
- svm classifier
- feature selection
- classification method
- pattern classification
- machine learning methods
- classification algorithm
- feature space
- training data
- model selection
- multi class
- feature set
- machine learning algorithms
- image processing
- machine learning
- generalization ability
- extracted features
- hyperplane
- svm classification
- high classification accuracy
- texture features
- neural network
- image feature extraction
- text classification
- image classification
- classification accuracy
- training set
- preprocessing
- training samples
- probabilistic model
- artificial neural networks
- decision boundary
- pattern recognition
- extracting features
- decision forest
- feature extraction and classification
- face recognition
- learning algorithm