Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
出版年份 2017 全文链接
标题
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
作者
关键词
Deep learning, SARs, Cheminformatics, Machine-learning, Data-mining, Random forest, kNN, Support vector machines, Naïve Bayes
出版物
Journal of Cheminformatics
Volume 9, Issue 1, Pages -
出版商
Springer Nature
发表日期
2017-06-28
DOI
10.1186/s13321-017-0226-y
参考文献
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