Name
Title | ||
|---|---|---|
Analyzing the Interplay Between Random Shuffling and Storage Devices for Efficient Machine Learning |
Abstract | ||
|---|---|---|
Machine learning algorithms, such as Support Vector Machine (SVM) and Deep Neural Network (DNN), have gained a lot of interest recently. When training a machine learning algorithm, randomly shuffling all the training data can improve the testing accuracy and boost the convergence rate. Nevertheless, realizing training data random shuffling in a real system is not straightforward due to the slow ra... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPASS51385.2021.00050 | 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
Keywords | DocType | ISBN |
Training,Support vector machines,Performance evaluation,Machine learning algorithms,Neural networks,Training data,Software | Conference | 978-1-7281-8643-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi-Lin Ke | 1 | 0 | 0.34 |
| Hsiang-Yun Cheng | 2 | 61 | 6.07 |
| Chia-Lin Yang | 3 | 1033 | 76.39 |
| Han-Wei Huang | 4 | 0 | 0.34 |