Gibson, J. B., Janicki, T. D., Hire, A. C., Bishop, C., Lane, J. M. D., & Hennig, R. G. (2024). When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential.
Chicago-Zitierstil (17. Ausg.)Gibson, Jason B., Tesia D. Janicki, Ajinkya C. Hire, Chris Bishop, J. Matthew D. Lane, und Richard G. Hennig. When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential. 2024.
MLA-Zitierstil (9. Ausg.)Gibson, Jason B., et al. When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential. 2024.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.