| 1. | Adaptive weighting based fusion method of multi - classifiers
基于自适应权值的多分类器融合方法 |
| 2. | Improved support vector machine for multi - class classification problems
一种用于多分类问题的改进支持向量机 |
| 3. | The multiple classifiers combination fuses the decision level data
多分类器组合是对决策层的数据进行融合。 |
| 4. | Combining multiple classifiers for thematic classification of remotely sensed data
结合多分类器的遥感数据专题分类方法研究 |
| 5. | Multilevel multinomial model and its application for multiple category responses
多分类反应变量的多水平多项式模型及其应用 |
| 6. | New multi - class support vector algorithm and its application in fault diagnosis
一种新型多分类支持向量算法及其在故障诊断中的应用 |
| 7. | The analysis and its application for the differences between categories of the ordinal data in data mining
数据挖掘中多分类有序变量间距差异分析及应用 |
| 8. | In chapter 3 , the method of multi classifier combination based on different pattern features is studied
第三章，研究了基于不同模式特征的多分类器联合方法问题。 |
| 9. | The techniques of mis - recognition model and multiple classifier combination are proposed and used in the system
在车牌字符识别中引入了误识模型和多分类器集成技术。 |
| 10. | Combining methods and diversity measures in multiple classifier systems for thematic classification of landsat tm images
影像分类领域多分类器线性组合方法及差异性度量研究 |
