An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs.
Sheng-Yong YangQi HuangLin-Li LiChang-Ying MaHui ZhangRu BaiQizhi TengMing-Li XiangYu-Quan WeiPublished in: Artif. Intell. Medicine (2009)
Keyphrases
- parameter settings
- support vector machine
- feature selection
- parameter optimization
- multi class
- optimal parameters
- machine learning
- small sample
- feature space
- support vector
- parameter values
- models built
- stock market prediction
- prediction accuracy
- text categorization
- feature extraction
- genetic algorithm ga
- prediction algorithm
- computer vision
- classification accuracy
- classification method
- support vector machine svm
- ensemble classifier
- feature ranking
- markov random field
- mutual information
- knn
- training set