| 1. | Discretization of continuous attributes in classification problems
分类问题中连续属性的离散化方法 |
| 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. | Usually , the relation extraction problem was converted to a classification problem
通常,将关系抽取问题转化为一个分类问题。 |
| 4. | Fuzzy classification systems can deal with perceptual uncertainties in classification problems
模糊分类系统可以处理分类问题中资料的不确定性。 |
| 5. | Because the structure is simple , pnn is an effective model for many classification problems and many pattern recognitions
Pnn的拓扑结构简单,容易设计算法,广泛应用于模式识别及模式分类领域 |
| 6. | As solving other classification problem , we firstly research on the feature extraction of relation extraction problem , viz
与解决其他分类问题一样,本文首先对关系抽取问题中的特征提取进行了研究。 |
| 7. | And two types of problems are applied based on the agent - based approach : the nonlinear system approximation problem and the classification problem
最后，基于智能体的进化算法补应用于非线性系统模拟问题和分类问题中。 |
| 8. | This thesis presents two simple methods to select kernel ' s parameters for classification problems and regression problems respectively . the construction of kernels
本文分别针对模式分类和函数逼近两类问题，给出了对核函数参数进行选择的简便方法。 |
| 9. | Lorenz system and mackey - glass time series are the examples for nonlinear system approximation problems , while iris data and wine data are taken as examples for classification problems
分别是二阶非线性工厂模型， lorenz系统， mackey - glass时间序列， iris数据集和wine数据集。 |
| 10. | Clusen is applied on neural networks to solve the multiple classification problems , the experimental results on uci data sets show that clusen computes more efficiency than gasen proposed before
结果表明，该技术计算效率高，精度与稳健性也与基于遗传算法的选择性集成方法相当甚至占优。 |
