最优分类超平面,optimal separating hyperplane英语短句,例句大全

最优分类超平面,optimal separating hyperplane
1)optimal separating hyperplane最优分类超平面
1.Geometric interpretation of optimal separating hyperplane;最优分类超平面的几何意义
2.A new algorithm to the optimal separating hyperplane;确定最优分类超平面的新算法
3.In respect of the skew of the optimal separating hyperplane and the generalization error bound that exist in the practical application of support vector machine,this paper introduces the total margin algorithm and different cost algorithm,which improves the standard support vector machine.针对支持向量机在实际应用中存在的最优分类超平面的倾斜问题和推广误差界的问题,引入了总间隔与代价差异算法,对标准的支持向量机算法进行了改进。
2)optimal separating hyperplane (OSH)最优分类超平面(OSH)
3)optimal hyperplane最优超平面
1.The key problem of the support vector machine (SVM) is how to obtain an optimal hyperplane that is the critical boundary for distinguishing the sample which belongs to one kind or another.支持向量机(SVM)是解决小样本学习问题的有力工具,其关键是如何得到判别样本类别的最优超平面。
4)optimal hyperplane最优分类面
1.This paper introduces the theory and training algorithm of the support vector machine which is applied in nonlinear classification and recognition by the way of bringing in the concept such as structural risk minimization principle and optimal hyperplane,then a set of nonlinear binary samples are successfully classified by using different kernel functions,followed by discussion to the results.通过引入结构风险最小化原则和最优分类面的概念,介绍了支持向量机及其用于非线性分类的基本原理和训练算法,并选用不同的核函数及参数对一组线性不可分的两类样本进行了划分识别,得到了较好的效果,并对结果进行了分析说明,展望了支持向量机的发展趋势。

英文短句/例句

1.Research on a Neural Network Pattern Recognition Method Based on Optimal Classification Face and Applications;基于最优分类面的神经网络模式分类方法及其应用
2.Optimal Partitioning of Groups in Selecting the Best or the Second Best Choice;最优或次优组面试问题的最佳划分选择策略
3.One Kind of International Optimal Security Investment Problem under the Partial Information;一类部分信息下证券投资最优化问题
4.Optimizational condition for a class of multiobjective Lipschitzian programming;一类多目标Lipschitz规划的最优性充分条件
5.Relational classifier based on optimal supervised cluster centers一种基于最优监督型聚类中心的关系分类器
6.Analysis of the fitness landscape of optimum multiuser detection problem最优多用户检测问题适应值曲面分析
7.A Linear Dispatch Optimization Model for Choosing Naval Ships Attack Enemies Traffic Scheme;最优线性分派模型的水面舰艇破交方案优选
8.The Classes of Uniformly Opitimally Graphs in the Complete Tripatite and the Complete 5-partite Graphs;完全3分图和完全5分图中的几类一致最优图
9.The biggest change surrounds the whole area of conversion.最大的区别主要分布在类型转换里面。
10.Please rank the following types of cooperation according to priorities. *4*equals highest priority and *1* equals lowest priority.请按照优先顺序排列下面的合作类型，*4*代表最高优先级，*1*代表最低优先级。
11.Regularization Methods and Optimality Analysis for Inverse Boundary Value Problems;几类逆边值问题的正则化方法及最优性分析
12.Optimality Conditions and Duality for a Class of Nondifferentiable Generalized Fractional Programming;一类不可微广义分式规划的最优性条件和对偶
13.A Class of Nonlinear Impulsive Integral Differential Equations and Optimal Control;一类非线性脉冲积微分方程及其最优控制
14.THE OPTIMALITY OF COMBINING RIDGE AND PRINCIPAL COMPONENTS ESTIMATE IN THE CLASS OF REDUCED DIMENSION ESTIMATOR;岭型主成分估计在降维估计类中的最优性
15.Optimal sufficient conditions of a class of multiobjective programming about B-preinvex function一类B-预不变凸多目标规划的最优性充分条件
16.Optimality Conditions for a Class of Nonconvex Nonsmooth Multiobjective Fractional Programming一类非凸非光滑多目标分式规划的最优性条件
17.Optimization Category of Comprehensive Water Use Level in Weihe River Basin渭河流域综合用水水平的最优化分类研究
18.Optimality conditions for a class of nondifferentiable minimax fractional programming一类不可微广义分式规划的最优性条件

相关短句/例句

optimal separating hyperplane (OSH)最优分类超平面(OSH)
3)optimal hyperplane最优超平面
1.The key problem of the support vector machine (SVM) is how to obtain an optimal hyperplane that is the critical boundary for distinguishing the sample which belongs to one kind or another.支持向量机(SVM)是解决小样本学习问题的有力工具,其关键是如何得到判别样本类别的最优超平面。
4)optimal hyperplane最优分类面
1.This paper introduces the theory and training algorithm of the support vector machine which is applied in nonlinear classification and recognition by the way of bringing in the concept such as structural risk minimization principle and optimal hyperplane,then a set of nonlinear binary samples are successfully classified by using different kernel functions,followed by discussion to the results.通过引入结构风险最小化原则和最优分类面的概念,介绍了支持向量机及其用于非线性分类的基本原理和训练算法,并选用不同的核函数及参数对一组线性不可分的两类样本进行了划分识别,得到了较好的效果,并对结果进行了分析说明,展望了支持向量机的发展趋势。
5)classification hyperplane分类超平面
1.Combining the new measure with the forward regression orthogonal least square (OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind.提出一种基于输入集分类函数的新的距离度量方法 ,它与前传回归的正交最小二乘法相结合 ,不仅可以学习分类超平面的参数 ,而且可以选择重要的输入节点。
6)Hyperplane classification超平面分类