Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection.
Tiejun ChengQingliang LiYanli WangStephen H. BryantPublished in: J. Chem. Inf. Model. (2011)
Keyphrases
- binary classification
- feature selection
- support vector
- multi class
- support vector machine
- multiple kernel learning
- cost sensitive
- learning problems
- class imbalance
- multi label
- multi class classification
- text categorization
- binary classification problems
- binary classifiers
- machine learning
- classification accuracy
- ensemble methods
- generalization error
- kernel function
- cross validation
- multi task
- feature space
- feature set
- feature subset
- text classification
- feature extraction
- active learning
- image processing
- pairwise
- kernel methods
- dimensionality reduction
- loss function
- unsupervised learning