Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning

By introducing the methods of machine learning into the density functional theory, we made a detour for the construction of the most probable density function, which can be estimated by learning relevant features from the system of interest. Using the properties of universal functional, the vital co...

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Detalles Bibliográficos
Autores principales: Chen, Chien-Chang, Juan, Hung-Hui, Tsai, Meng-Yuan, Lu, Henry Horng-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765025/
https://www.ncbi.nlm.nih.gov/pubmed/29323205
http://dx.doi.org/10.1038/s41598-017-18931-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765025/
https://www.ncbi.nlm.nih.gov/pubmed/29323205
http://dx.doi.org/10.1038/s41598-017-18931-5

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