1) 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。
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。
3) selective algorithm
选择性算法
5) selective clustering ensemble
选择性聚类集成
6) negative selection algorithm
阴性选择算法
1.
Improvement of negative selection algorithm based on hamming distance;
基于海明距离的阴性选择算法的改进
2.
Application of negative selection algorithm in fault diagnosis for industrial control system;
阴性选择算法在工业控制系统故障诊断中的应用
3.
Novel negative selection algorithm for multi-class pattern classification problems
面向多类别模式分类问题的新型阴性选择算法
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-
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参考词条