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Improving Quantitative Structure-Activity Relationship Models using Artificial Neural Networks Trained with Dropout
Dropout is an Artificial Neural Network (ANN) training technique that has been shown to improve ANN performance across canonical machine learning (ML) datasets. Quantitative Structure Activity Relationship (QSAR) datasets used to relate chemical structure to biological activity in Ligand-Based Compu...
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| Publicado no: | J Comput Aided Mol Des |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4798928/ https://ncbi.nlm.nih.gov/pubmed/26830599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10822-016-9895-2 |
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