Design of the Feature Space for Feature-selection Algorithms Yielding 
Physically Interpretable Descriptors

Ghiringhelli, Luca M.

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Design of the Feature Space for Feature-selection Algorithms Yielding Physically Interpretable Descriptors

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Ghiringhelli, Luca M.
Theory, Fritz Haber Institute, Max Planck Society;

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Ghiringhelli, L. M. (2015). Design of the Feature Space for Feature-selection Algorithms Yielding Physically Interpretable Descriptors. Talk presented at CECAM/Psi-k Workshop, From Many-Body Hamiltonians to Machine Learning and Back. Berlin, Germany. 2015-05-11 - 2015-05-13.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0027-F4E8-0

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