This study proposes a novel nearest vertex attraction (NVA) to actively adjust the relation between the categories and the output vertices for improving the ...
The best relation allows that the data points can be attracted by the nearest vertices to minimize the total moving distances. In this way, the mapped points ...
Nearest vertex attraction for actively reducing loss. F Sun, S Kong, X Zhang, L Wang, B Yang, S Liu, Q Wang. Cognitive Systems Research 70, 18-28, 2021. 2021.
Nearest vertex attraction for actively reducing loss ... In recent years the neural networks have received considerable success on classification tasks. The ...
Nearest vertex attraction for actively reducing loss. 18-28. view. electronic edition via DOI · unpaywalled version · references & citations. authority control ...
Feb 10, 2020 · The closest point will often be on an edge. In particular, if the origin is inside the triangle, the closest point is always on an edge.
Missing: actively loss.
, Qidong Wang: Nearest vertex attraction for actively reducing loss. Cogn ... Fuzzy Nearest Neighbor Partitioning Neural Network for Classification.
Nearest vertex attraction for actively reducing loss. Cogn. Syst. Res. 70: 18-28 (2021). [j5]. view. electronic edition via DOI (open access) · references ...
Nearest vertex attraction for actively reducing loss. F Sun, S Kong, X Zhang, L Wang, B Yang, S Liu, Q Wang. Cognitive Systems Research 70, 18-28, 2021. 2021.
TL;DR: Zhang et al. as mentioned in this paper proposed a novel nearest vertex attraction (NVA) to actively adjust the relation between the categories and the ...