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20 synthetic datasets
该数据集汇总了从已知网络中抽取的合成数据集,并使用了BNgenerator软件包进行生成。其中五个数据集来源于文献资料,另外十五个则由作者自行生成。该数据集规模宏大,包含多达10000个变量,每个训练数据集包含5000个实例。其任务是对结构学习及算法进行比较研究。
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Parkinson’s Disease Data Set
To Detecting Parkinson’s Disease – Python Machine Learning Project
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J-integral data for determining minimum volume requirements for studies of microstructurally small cracks in heterogeneous, linear-elastic domains
The following data were generated from the finite element simulations described in “Determination of representative volume elements for small cracks in heterogeneous, linear-elastic domains” By DeMill
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Additional file 9 of MRF: a tool to overcome the barrier of inconsistent genome annotations and perform comparative genomics studies for the largest animal DNA virus
Additional file 9. Sheet 1. The data used for running random forest machine learning model. Only the coding sequences (CDS) that were deleted in all isolates of a phylogenetic cluster are used for thi
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