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- A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules. 应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法。
- As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion. 而基于模糊规则的模式识别方法是一类可理解性好的非线性方法,但迄今为止还没有被应用于多分类器融合问题中。
- This thesis tries to apply new techniques of multiple classifier fusion to the area of identification of the marrow cells, and make efforts to meliora. 因此,本课题将模式识别领域中新发展起来的多分类器融合技术应用到骨髓细胞的分类识别中,并在融合理论的改善上作了一些探索性的研究。
- Nonlinear methods perform well in the multiple classifier fusion.However, the nonlinear methods used for the multiple classifier fusion have poor comprehensibility. 用非线性方法解决多分类器融合问题能够取得比较高的识别率, 但是,当前被应用在多分类器融合领域中的非线性方法可理解性较差,给使用者带来一定的困难。
- The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems. 对UCI机器学习数据库的实验证明,相对于其它方法,EPD方法对多分类器系统性能的预测能力更强。
- The classify capability were improved,and the disadvantage of single classifier were made up by multiple classifier combination. 多分类器组合方法可以在一定程度上弥补单个分类器的不足,提高分类性能。
- Multiple Classifier System (MCS) 多分类器系统(MCS)
- Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field. 多分类器组合是解决复杂模式识别问题的有效办法。
- Brief discussion about the use of multiple classifier measure word 多胞胎量词运用刍议
- A method of dynamic ensemble of multiple classifiers based on information entropy(EMDA) is proposed in the paper,in order to improve the classification performance of dataset. 摘要 为提高数据分类的性能,提出了一种基于信息熵[1]的多分类器动态组合方法(EMDA)。
- A geometrically inspired measurement of uncertain is proposed in this paper, and this measurement is considered when combining multiple classifiers using D-S evidence theory. 本文从几何角度出发,提出了分类器结果的不确定性测量方法,在利用D-S方法合成多个分类器的输出时,将这些不确定性信息也融入计算之中。
- The paperintroduces meta decision trees (MDT), a novel method for combining multiple classifiers, describes MDT , meta attribute, and the combiningframework of combining classifiers with MDT. 该本文介绍了用元决策树(MDT)融合多个分类器的新方法,阐释了MDT、元属性以及用MDT组合多个分类器的stacking框架。
- In addition, both the multiple classifiers using the rms (root mean squared) distance weighting and the average distance weighting outperform that of using the variance reduction technique. 结果显示整体分类精度有大幅度的提升,而三种方案中均方根距离法与平均距离法皆优于变异减低法。
- He is the person with multiple injuries. 他就是那个多处受伤的人。
- Three different weighting policies (variance reduction technique, rms distance weighting, and average distance weighting) applied to the multiple classifiers approach are introduced. 多分类器系统中的必要手段为不同资料来源的权重分配;
- Its application to numeral recognition shows that the presented voting principle makes the combination of multiple classifiers achieve good performance for high recognition rate and high reliability. 在数字识别系统中的实验结果表明,该方法使多分类器组合的识别率和置信度明显提高。
- Friendship multiple joy and divide grieve. 朋友之间,欢乐同享,苦难同当。
- We use the hall for multiple purposes. 这个大厅我们派多种用途。
- What are Learning Classifier Systems? 什麽是分类元系统?
- A multiple crash can often be seen on that motorway. 那条公路上的联环撞车事故很多。