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Removing redundant constraints, the result of SVOR would not change and the scale of optimal programming can be extremely reduced.
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The number of the constraints can be reduced to less than 17 percent of the original in our experiments. Additionally, it only executes once to find potential ...
Oct 22, 2024 · In this paper, we try to remove these potential redundant constraints for SVOR learning. For the jth parallel hyperplane, the potential ...
In this paper, we try to remove these potential redundant constraints for SVOR learning. For the jth parallel hyperplane, the potential constraints with non ...
On removing potential redundant constraints for SVOR learning · Fa Zhu, Ye Ning, +2 authors. Yining Gang · Published in Applied Soft Computing 2021 · Computer ...
On removing potential redundant constraints for SVOR learning ; Journal: Applied Soft Computing, 2021, p. 106941 ; Publisher: Elsevier BV ; Authors: Fa Zhu, Ye ...
In this paper, we try to remove these potential redundant constraints for SVOR learning. For the jth parallel hyperplane, the potential constraints with non ...
อ้างโดย ดูทั้งหมด ; On removing potential redundant constraints for SVOR learning. F Zhu, Y Ning, X Chen, Y Zhao, Y Gang. Applied Soft Computing 102, 106941, 2021.
Author(s). 2021-04-01, On removing potential redundant constraints for SVOR learning · Zhu, F; Ning, Y; Chen, X; Zhao, Y; Gang, Y. 2018-08 ...
On removing potential redundant constraints for SVOR learning. F Zhu, Y Ning, X Chen, Y Zhao, Y Gang. Applied Soft Computing 102, 106941, 2021. 49, 2021 ; Large ...