Optimal design of experiments in the context of machine-learning inter-atomic potentials: improving the efficiency and transferability of kernel based methods.
Bartosz BarzdajnChristopher P. RacePublished in: CoRR (2024)
Keyphrases
- optimal design
- machine learning
- statistical methods
- machine learning methods
- machine learning approaches
- support vector
- graph cuts
- text classification
- learning systems
- benchmark datasets
- machine learning algorithms
- context aware
- knowledge acquisition
- data sets
- support vector machine
- computational cost
- significant improvement
- preprocessing
- pattern recognition
- search engine
- data mining