A Learning Process Using SVMs for Multi-agents Decision Classification.
Yanshan XiaoFeiqi DengBo LiuShouqiang LiuDan LuoGuohua LiangPublished in: Web Intelligence/IAT Workshops (2008)
Keyphrases
- support vector
- learning process
- support vector machine svm
- support vector machine
- multi agent
- classification algorithm
- classification accuracy
- machine learning
- generalization ability
- feature space
- incremental learning
- decision rules
- feature vectors
- feature selection
- svm classifier
- pattern recognition
- training set
- decision functions
- classification method
- pattern classification
- decision trees
- decision making
- multiclass classification
- text classification
- decision boundary
- learning phase
- reinforcement learning
- training support vector machines
- cost sensitive
- training samples
- svm classification
- classification decisions
- class labels
- machine learning algorithms
- kernel function
- hyperplane
- decision makers
- binary classification
- supervised learning
- multi class classification
- multi class
- active learning
- learning environment
- structured learning
- training data
- feature extraction
- learning algorithm