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Precision Machine Learning
We explore unique considerations involved in fitting machine learning (ML) models to data with very high precision, as is often required for science applications. We empirically compare various function approximation methods and study how they scale with increasing parameters and data. We find that...
Autores principales: | Michaud, Eric J., Liu, Ziming, Tegmark, Max |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858077/ https://www.ncbi.nlm.nih.gov/pubmed/36673316 http://dx.doi.org/10.3390/e25010175 |
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