Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction.
Elena L. CáceresNicholas C. MewMichael J. KeiserPublished in: J. Chem. Inf. Model. (2020)
Keyphrases
- negative examples
- machine learning
- positive examples
- prediction accuracy
- concept learning
- drug discovery
- binary classification
- positive and negative examples
- training data
- negative training examples
- machine learning methods
- training examples
- positive and negative
- learning problems
- data mining
- feature selection
- text mining
- supervised learning
- natural language processing
- learning algorithm
- background knowledge
- inductive logic programming
- inductive learning
- support vector machine
- decision trees
- small number
- learning tasks
- information extraction
- knowledge discovery
- knowledge acquisition
- image classification