1) selective clustering ensemble
选择性聚类集成
2) selective ensemble
选择性集成
1.
Emotion recognition based on selective ensemble;
基于选择性集成的情感识别
2.
Study of selective ensemble algorithm based on classification problems
基于分类问题的选择性集成学习研究
3.
This paper investigates select operators,cross operators,mutation operators based on integer coding,and applies them on solving traveling salesman problem with ensemble above operators based on selective ensemble concept.
本文考察了基于整数编码的遗传算法的选择算子、交叉算子、变异算子,运用选择性集成的思想,将几种算子集成,随进化的进程对交叉概率和变异概率做自适应调整,用Matlab编写遗传算法程序,求解中国31城市TSP问题,获得了优于目前同类工作的结果。
4) selective integration of algorithm
选择性集成算法
1.
In order to improve the performance of ensemble learning in a few labeled training examples,combining with semi-supervised learning and selective integration of learning,a new selective integration of algorithm based on semi-supervised regression namely SSRES was proposed.
为了提高集成学习在小数据量的有标记样本问题中的性能,结合半监督学习和选择性集成学习,提出了一种基于半监督回归的选择性集成算法SSRES。
5) Clustering and selection
聚类选择
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条