Tanimoto Random Features for Scalable Molecular Machine Learning.
Austin TrippSergio BacalladoSukriti SinghJosé Miguel Hernández-LobatoPublished in: CoRR (2023)
Keyphrases
- machine learning
- data mining
- decision trees
- natural language processing
- feature engineering
- data sets
- computational biology
- feature set
- co occurrence
- support vector machine
- knowledge discovery
- low level
- pattern recognition
- feature extraction
- active learning
- feature space
- data analysis
- text classification
- false positives
- learning models
- extracted features
- reinforcement learning
- explanation based learning
- feature construction