On the other hand, support vectors are the points that define the hyperplane.
另一方面，支持向量定义的平面的点。
This algorithm is fast, incremental learning, and it takes less support vectors!
本算法具有速度快、增量学习、使用的支持向量少等显著优点。
RASVM possesses less convergence support vectors, training time and higher precision of prediction, capacity of generalization.
RASVM具有更少的收敛的支持向量、训练时间和更高的预测精度和泛化能力。
This algorithm is a combination of kernel trick with the covering algorithm, and is used to extract the support vectors in feature space.
该算法将核技巧与覆盖算法相结合，并在特征空间中抽取支持向量。
How is the VC dimension of a support-vector machine related to its number of support vectors? Is there a formula relating these two quantities?
一个支持向量机的支持向量数相关的VC维是怎样的？有一个公式，关于这两个量？
The algorithm introduced the forgetting factor to get the support vectors at the first training. The number of support vectors is decreased by 28%.
该算法在第一次小样本训练时引入了遗忘因子，该因子使支持向量数减少了28％。
The method firstly organizes support vectors in clusters in feature space, and then, it finds the pre-images of the cluster centroids in feature spa.
此方法首先在特征空间中对支持向量进行聚类，然后寻找特征空间中的聚类中心在输入空间中的原像以形成约简向量集。
The cost of the training of support vector machine is too much, if we use thousands of support vectors directly, the computation time would be too long.
支持向量机的训练代价太大，如果直接把成千上万个特征向量直接用作训练，运算时间难以忍受。
Thus the computational complexity is no longer depend on space dimension, but the number of samples, especially the number of support vectors in each sample.
计算的复杂度不再取决于空间维数，而是取决于样本数，尤其是样本中的支持向量数。
The fuzzy membership based on the affinity among samples for support vector machine effectively distinguishes between support vectors and outliers or noises.
将其应用于模糊支持向量机方法中，较好地将支持向量与含噪声或野值样本区分开。
To solve the problems of the complexity of SVM-MUD model and the number of support vectors, a new algorithm for nonlinear multiuser detection is proposed in the paper.
为了解决支持向量机算法在多用户检测中存在的模型复杂及产生的支持向量数目较多的问题，该文提出一种新的非线性多用户检测算法。
A method for pre-extracting support vectors based on concentric hyperspheres division is presented in this paper, and HD-SVM algorithm based on this method is presented also.
提出了一个基于同心超球面分割的支持向量预抽取方法，并在此基础上给出了HD - SVM训练算法。
It has many advantages, such as using kernel function to avoid local minimal point, sparse nature of solutions, limit used to control capacity or the number of support vectors, etc.
它拥有众多的优良特性，如利用核技术避免了解的局部最小、具有解的稀疏性、通过界限的作用达到容量控制或支持向量数目的控制等等。
The extracted support vectors can be trained instead of total data set, so computational cost will be reduced. (2) The loss function is very important to risk functional of the SVM.
损失函数是支持向量机风险泛函的关键部分，选择不同的损失函数可以构造不同类型的支持向量机。
Each data structure behaves slightly differently in response to the conj function (lists grow at the front, vectors grow at the end, and so on), but they all support the same API.
虽然每一个数据结构对conj 函数的反应稍稍不同（list在头部增长，vectors 在尾部增长，等等），但是它们都支持相同的 API。
Then feature vectors representing the distribution properties of IFS(Iterative Function System) are constructed to support the indexing of images based on the fractal coded image data.
然后在图象分形码的基础上，利用迭代函数系统分布特性构建的特征量来支持图象检索。
Support vector machine constructs an optimal hyperplane utilizing a small set of vectors near boundary.
支持向量机利用接近边界的少数向量来构造一个最优分类面。
A method using combined parameters of natural frequencies and modal components as input vectors for support vector machine is presented in this paper.
提出一种由固有频率和模态分量构成的组合参数作为支持向量机输入向量的方法。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
Some command vectors offer more support to new users.
有一些命令途径为新手用户提供更多的支持和帮助。
Some command vectors offer more support to new users.
有一些命令途径为新手用户提供更多的支持和帮助。
应用推荐