multi-classifier results fusion 多分类器结果融合
Multi-classifier combination 多分类器集成
SVM Multi-classifier SVM多分类器
multi-classifier 多分类器
Multi Classifier Fusion 多分类器融合
multi-classifier mixing 多分类器融合
combining multi-classifier 多种分类器合并
Multi-classifier cooperation 多分类器协同
Multi Classifier Combination 多分类器组合
The objective of multi-classifier combination is to make use of each classifier"s good qualities in recognition performance and gains higher recognition rate than each classifier."
多分类器组合的目的是希望能够充分发挥每个分类器在各自分类性能上的长处，以获得比任何单独分类器都要高的识别率。
This paper analyzes the factors affecting the accuracy of classifier, and designs three methods combining multi-classifier based on their performance on test corpus.
本文分析了影响分类器精度的因素，并提出了三种基于在测试例集上分类表现效果的多分类器融合方法。
After comprehending and analyzing the various classifiers and integration of multi-classifiers, a new method of multi-classifier ensemble is presented in this paper.
本文在理解和分析各种分类器以及分类器集成方法的基础上提出了一种新的多分类器集成的方法。
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