A Large Descriptor Set and a Probabilistic Kernel-Based Classifier Significantly Improve Druglikeness Classification.
Qingliang LiAndreas BenderJianfeng PeiLuhua LaiPublished in: J. Chem. Inf. Model. (2007)
Keyphrases
- support vector machine
- feature set
- support vector
- classification scheme
- feature selection
- decision boundary
- classification method
- classification process
- feature space
- feature extraction
- training set
- classification algorithm
- training samples
- svm classifier
- classification models
- machine learning
- classification accuracy
- decision trees
- training data
- class labels
- multi category
- final classification
- multiple classifiers
- nearest neighbour
- support vector machine svm
- classification rate
- training dataset
- object recognition
- image retrieval
- pattern classification
- fold cross validation
- learning phase
- svm classification
- image classification
- learning vector quantization
- text classification
- probabilistic classifiers