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Model-Free Cluster Analysis of Physical Property Data using Information Maximizing Self-Argument Training
We present semi-supervised information maximizing self-argument training (IMSAT), a neural network-based classification method that works without the preparation of labeled data. Semi-supervised IMSAT can amplify specific differences and avoid undesirable misclassification in accordance with the pur...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221089/ https://www.ncbi.nlm.nih.gov/pubmed/32404915 http://dx.doi.org/10.1038/s41598-020-64281-0 |