Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction
收藏NIAID Data Ecosystem2026-03-14 收录
数据链接：
官方服务：
资源简介：
Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction This work has been developed to discover the usage of Multi-Objective Evolutionary computation to reduce the dimensionality of synset-based datatsets. The objective of this code is to introduce different dimensionality reduction methods (lossless, low-loss and lossy) as an optimization problem that can be solved using Multi-Objective Evolutionary Algorithms (MOEA).
创建时间：
2022-12-16
