The Nanjing University Professor Zhi-Hua Zhou proposed the concept of selective ensemble learning.
南京大学周志华教授提出选择性集成学习的概念。
It includes the origin, definition, the main technical, and diversity of the selective ensemble learning.
包括选择性集成学习的起源、定义、主要技术，和集成学习中流行的差异度。
With the ensemble function of selective ensemble, the result of each kind of event is achieved by selective ensembling the results of different detection methods.
接着利用选择性集成的思想，定义了一个集成函数，对不同的检测方法得到的结果进行选择性集成，从而获得对一类事件的结论；
In order to improve the performance of intrusion detection system, selective ensemble is introduced to the implementation of intrusion detection system in this paper.
为了提高入侵检测系统的性能，本文将选择性集成的思想引入到入侵检测系统的实现中。
As the Q statistic is better in experiments, so this paper uses Q statistic to measure the diversity between the two learners and proposes a new selective ensemble algorithm basing Q statistic.
由于Q统计量在实验中效果不错，因此本文采用Q统计量度量两个分类器之间的差异度。提出一种采用Q统计量的选择性集成学习算法。
Selective ensemble classifiers can improve classification accuracy rate of data set. But for a specific data classification, the classifiers contained by ensemble can not be the best combination.
选择性集成分类算法虽能提高集合分类器在整体数据集上的分类性能，但针对某一具体数据进行分类时，其选择出的个体分类器集合并不一定是最优组合。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能，提出一种基于双重扰动的选择性支持向量机集成算法。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能，提出一种基于双重扰动的选择性支持向量机集成算法。
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