Tanimoto Random Features for Scalable Molecular Machine Learning.
Austin TrippSergio BacalladoSukriti SinghJosé Miguel Hernández-LobatoPublished in: NeurIPS (2023)
Keyphrases
- machine learning
- machine learning approaches
- feature extraction
- low level
- feature set
- pattern recognition
- machine learning models
- three dimensional
- learning algorithm
- feature construction
- feature engineering
- inductive learning
- co occurrence
- knowledge representation
- feature vectors
- prior knowledge
- feature space
- data analysis
- natural language processing
- video sequences
- multiscale
- text classification
- knowledge acquisition
- spatial information
- machine learning methods
- similarity measure
- image sequences
- computer vision
- genetic algorithm
- neural network