| 1. | Cc model utilizes super - circle to divide the example ' s space
Cc模型采用超圆划分样本空间。 |
| 2. | Product sample space
积样本空间 |
| 3. | On constructing and optimization of sample spaces in calculation of classical probability
关于古典概率计算中样本空间的构造及优化 |
| 4. | A note on the method for constructing the confidence limits of parameters based on order relation in the sample space
基于样本空间中序关系构造参数置信限方法的一个注记 |
| 5. | It reduces the contrastive encrypted information swatch space which can be used , but it increases the difficulty to unlock
同时由于减小了可用于对比的信息样本空间,也增加了解密的难度。 |
| 6. | As for the undivided linear sample space , the kernel function is needed to map onto another high dimension linear space
对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。 |
| 7. | And find the reason that cause illusion is to choose the sample space wrongly , then explain the importance of choosing the sample space correctly
并分析了导致错觉的原因是错误地选择了样本空间，进而说明正确选择样本空间的重要性。 |
| 8. | Feedforward networks use back propagation algorithm to train a multi - layer network . after training , the multi - layer network can fit the function in the data space very well
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。 |
| 9. | With the aid of 3d visualization on lscm images , the researchers can observer the surface structures in the specimens or the internal structures of the specimens more clearly
将三维可视化技术用于激光共聚焦显微镜层切图像，可以帮助生物研究者更清楚地观察样本空间形态或样本内部物质的空间分布情况。 |
| 10. | In this dissertation , we propose improved genetic algorithm and utilize it to search sample space for classification and evaluation with the best representative subset of training set
本文提出一种改进的遗传算法,利用改进的遗传算法搜索样本空间,将得到的训练集的近似最优代表性子集作为训练集去分类评估集。 |
