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- The support vector machine is a new statistical learning method. It can solve small-sample, non-linear and high dimension problems by using structural risk minimization (SRM) instead of empirical risk minimization (ERM). 支持向量机则是一门新的统计模式分类方法,支持向量机用结构风险最小化原则代替了经验风险最小化原则,同传统的模式识别方法相比,支持向量机在小样本、非线性及高维模式识别问题中表现出许多特有的优势。
- high dimensional problems 高维优化函数
- TAN Tjong-kie.One dimensional problem of consolidation and secondary time effect[J].China Civil Engineering Journal,1958,5(1):20-25. [2]陈宗基.;固结及次时间效应的单维问题[J]
- High dimensional stability throughout the lifespan is achieved by the low creep tendency of the polymers used. 由于所用聚合物的低蠕动性,可在整个寿命期达到很高的尺寸稳定性。
- Data cube has been playing an important role in the high dimensional OLAP operations. 摘要数据立方体在许多多维数据的数据仓库的高速OLAP操作中扮演着重要的角色。
- Hsieh PF,Landgrebe D A.Classification of high dimensional data[D].PhD thesis of Purdue University,1998. 路威.;面向目标探测的高光谱影像特征提取与分类技术研究[D]
- This method involves integration on high dimensional hypercubes and estimating the volume of "half" hypercubes. 这个方法包含对超立方体的积分并估计”半”超立方体的体积。
- Srivastava, A High Dimensional Array Assigment Method For Parallel Computing Systems. 京兆(今陕西西安)人。
- Mathematicians struggle with ways to tame these monsters, which they call "high dimensional" systems. 数学家一直努力寻找驯服这些怪物的方法,他们称之为“高维”系统。
- In high dimensional decision space, the result set of SPEA is covered by GEPMO at least 87.5%, inversely at most 5%. 在标准测试函数上的实验结果表明了新算法的有效性,在高维决策空间中GEPMO能够覆盖SPEA算法的结果集87.;5%25,但SPEA覆盖GEPMO仅为5%25。
- For one dimensional problem, S.He has recently proposed a flux recovery method taking integral form and proved the superconvergence of the recovery flux in L2 norm for constant coefficient equations. 摘要对一维问题,何松年新近提出一种积分形式的流量重构算法,并证明了常系数情形下重构流量L2意义下的超收敛性。
- high dimensional and small sample size problem 高维小样本问题
- And type of yarn(for example, core -spun stretch yarns,complex yarns with little or no stretch, single.or ply yarns of high dimensional stabililty). 纱线的类型(例如弹力包芯纱、弹性小或较差的花式线,具有较好的尺寸稳定性的单纱或股线)。
- The authors proposed an effective feature selection method for imbalanced data classification, especially if the data are also high dimensional. 因此作者提出有效的特徵挑選方法來處理不平均的高維度資料分類問題。
- A subspace clustering algorithm for high dimensional spatial data was proposed, which added the affect of neighbored grids when clustering. 为此提出了一种高维空间数据的子空间聚类算法,扩展了相邻聚类空间。
- High dimensional accuracy surpassed by none.For instance,the dimensional tolerances for diaphragms of G4 and G6 classes are as given above. 不刻求其他条件的尺寸精确度,例如:G4、G6型的组膜深度尺寸公差也按上表所示。
- She skirted round the problem of the high cost. 她避而不谈巨额费用问题。
- Humanoid beings exist in higher dimensions. 有人特点的生命存在于更高维度内。
- Additional user group dimensions problem, when the user group smaller when, the biggest tycoon may not be willing to do this business. 另外用户群的规模问题,当用户群比较小的时候,最大的巨头可能不愿意做这个事情。
- When dealing with low dimensional problems,my algorithm is prone to converge to global optimization and outperforms canonical genetic algorithm. 实验结果表明,在低维问题中算法容易收敛于全局最优解,优于普通遗传算法。