Automated machine learning (AutoML) is the task of automatically selecting and parametriz- ing machine learning algorithms, as well as combining them into ...
From Automated to On-The-Fly Machine Learning ; Document type. Text/Conference Paper ; Volume Title ; Publisher. Gesellschaft für Informatik e.V. ...
From Automated to On-The-Fly Machine Learning ; authored by: Felix Mohr, Marcel Dominik Wever, Alexander Tornede, Eyke Hüllermeier ; External Organisation(s) ...
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Machine learning deals with inducing such a system, usually called model, from supplied data and prior knowledge.
Nov 24, 2020 · We demonstrate an autonomous materials discovery methodology for functional inorganic compounds which allow scientists to fail smarter, learn faster, and spend ...
Apr 25, 2020 · Yes it can and in many cases it does. AI can do learning on the fly if appropriate feedback mechanisms are implemented.
Mar 10, 2022 · An active learning framework for material discovery in the case of data scarcity. A universal magnetic representation with deep physical insights.
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Jun 26, 2023 · In this work, we evaluate the benefits of using specific vs general potentials for the study of activated mechanisms in solid-state materials.
Jul 17, 2019 · This method realizes automatic generation of machine learning force fields on the basis of Bayesian inference during molecular dynamics simulations.
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Jul 31, 2020 · The algorithms allow the machine to self-learn an interatomic potential and construct machine-learned models on the fly during simulations.