1、

the sample space with the parameters of track features is constructed, and track association is performed with isodata algorithm.

将表征航迹特征的参量构成待分类的样本空间,利用ISODATA算法对来自不同传感器的航迹进行关联。

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2、

a new adaptive variable neural network is developed according to the inner product feature of sample space. this method does not need to iterate learning.

根据样本空间的内积特性,提出一种无需迭代学习的自适应变结构神经网络。

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3、

the teacher explained the population or sample space clearly.

老师清楚地解释了总体或样本空间。

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4、

The traditional clustering algorithms such as k-means and EM algorithm are based on a spherical sample space, when the sample space is not convex, the algorithm will stop at a local optimum.

传统的聚类分析算法最常见的比如k-means算法和EM算法,这些算法都是建立在凸球形的样本空间上,当样本空间不为凸时,算法会陷入局部最优。

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5、

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

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6、

both algorithms take advantage of the communication relationship with the neighbor node, build the sample space, to improve the positioning accuracy.

这两种算法均利用邻居节点间的通讯约束关系构建样本空间,从而提高算法的定位精度。

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7、

Also it puts forward a method of studying the population distribution of fuzzy subset B by using the sample space and the score comparison table of W valuation scheme.

提出了利用样本空间和它在W赋值方案下的得分对照表来研究模糊子集B的总体分布及其得分规律的设想。

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8、

The application of total probability formula and Bayes formula for sample space on which two disservements and these formulas of the sample space have proved.

讨论了样本空间有不同划分时全概公式和贝叶斯公式的应用方法,给出了样本空间有两种划分时全概公式和贝叶斯公式的证明。

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9、

a difference-algebraic method of solving probability problems in the discrete sample space

离散样本空间中概率问题的一个差分-代数解法

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10、

on the basis of strict mathematical description about the assurance test, the optimal lower confidence limit and upper confidence limit are found out by the method of arranging order in the sample space.

在对MTBF(平均无故障时间间隔)保证试验进行严格的数学描述的基础上,利用样本空间排序法找出了MTBF在一定意义下最优的置信下限和置信上限。

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11、

compared with pca, lpp is based on the local structure of sample space. thus, lpp can effectively keep the latent manifold of data after dimensionality reduction and has better feature extraction ability.

相比PCA算法,局部保持投影(LPP)从样本空间的局部结构出发,降维后可有效地保持数据中潜在的流形结构,具有更好的特征提取能力。

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12、

this paper presents the method and steps of computer test for the accuracy of parameter estimation and sample space.

本文给出了参数估计精度与样本容量大小充分性的计算机检验的方法和步骤。

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13、

the representative negative training samples are selected according to their distribution density in the high dimensional sample space and their prediction deviations.

根据高维样本空间中的反例样本的分布密度,选取有代表性的反例训练样本。

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14、

Then, to solve the problem of SVM training speed for large-scale sample set, the reduction method for SVM training samples under the original sample space is proposed.

然后,提出一种在原始样本空间下缩减训练样本规模的算法,以解决大规模样本集下SVM的训练问题。

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15、

To solve the problem that the face samples are nonlinear embedded in the original sample space, a novel face recognition algorithm called Local Fisher Discriminant Analysis ( LFDA) is proposed in this paper.

为解决人脸样本在原始样本空间的非线性流形嵌入问题,本文提出了局部Fisher判别分析(LFDA)算法。

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16、

this article brings forward the conception of universal gravitation in sample space via the thought of the universal gravitation in astrospace, and gives its applications on the discriminate analysis.

借用宇宙空间中万有引力的思想,提出样本空间中万有引力概念,同时给出其在判别分析中的应用&引力判别法。

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17、

According to the time resolution of sampling to determine the sample space of sequence.

根据采样的时间分辨率来确定序列的采样空间。

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18、

The definition and quality of conditional probability of fuzzy events were given. The total probability formula of Fuzzy events in general division of sample space was also given.

给出F事件的条件概率定义和性质,并在基本空间普通划分下给出F事件的全概率公式。

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19、

point in the sample space

样本空间的点

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20、

the least squares support vector algorithm is one of the effective methods of nonlinear time series prediction, which has certain advantages in small sample space and forecast accuracy.

而最小二乘支持向量回归算法是非线性时间序列预测领域的有效方法之一,在小样本空间和预测精度等方面有一定优势。

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