In the pharmaceutical industry it is common to generate many QSAR models from training sets containing a large number of molecules and a large number of descriptors. The best QSAR methods are those th

NIAID Data Ecosystem30

Classification performance across categories and methods.

算法评估

机器学习方法比较

Sheet 1: Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) [FasTag]; Sheet 2: Decision Trees (DT); Sheet 3: Random Forests (RF). (XLSX)

NIAID Data Ecosystem30

Machine learning methods for transport mode

交通模式识别

机器学习方法比较

Comparison that classify the transport mode and the characteristics of their machine learning methods.

DataCite Commons2022-12-02 更新40

Additional file 4 of Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

基因组预测

机器学习方法比较

Additional file 4. Includes SAS code for (i) the phenotypic data analysis (S1 Text.doc); (ii) SNP grouping schemes (S2 Text.doc); and (iii) the 5-fold data split (S3 Text.doc & S4 Text.doc) for th

Figshare2024-08-18 更新30

The summary of related work on self-supervised learning methods.

资源简介：

相关数据集