kernel polynomial
英 [ˈkɜːnl ˌpɒli'nəʊmiəl]
美 [ˈkɜːrnl ˌpɑli'noʊmiəl]
核多项式
双语例句
- By the method of reproducing kernel and the tensor product of operator, the explicit representation of the best Hermite interpolation operator ( H U 2m, 2n u)( x, y) for the bivariate functions is given, which is not in polynomial form.
利用再生核与算子张量积方法，给出了二元实函数非多项式型的最佳Hermite插值逼近算子（HU2m，2nu）（x，y）的具体表达式。 - We compare the process of study using three kind of kernel function, the polynomial kernel function have better generalization ability than Gaussian and sigmoid.
对三种核函数进行了对比实验，实验表明二项式核函数较高斯核函数和sigmoid核函数具有更强的泛化能力； - This paper first introduces a polynomial classifier, then gives the concept of NAPS kernel function and its corresponding kernel mapping which is deduced from the polynomial classifier.
介绍了指数展开分类器，引出了NAPS核函数及核映射的概念。 - An algorithm of seeking the kernel functions is given. The computational complexity of the algorithm is polynomial growing with the sample size and the solution is the maximal margin one in the high dimensional space.
最后给出求解此函数的算法，算法的计算复杂性是多项式的，且算法求到的解在高维空间上是最大间隔解。 - In the single and double integral terms of Green function, the kernel function of wave-making resistance expression, Special function expansion method and Chebyshev polynomial approach method have been adopted respectively, which greatly increase the calculation speed.
对作为兴波阻力计算核函数的Green函数的单、双积分项分别采用特殊函数展开、切比雪夫多项式逼近的方法进行计算，提高了计算速度。 - This paper applies a new kind of kernel function to iris identification, and compares with traditional polynomial kernel function and Gauss kernel function.
文章将一种新的核函数用于虹膜识别，并与传统的多项式核函数、高斯核函数进行了比较。 - In chapter 1, we introduce the ROC curve and some method of estimating the ROC curve. In chapter 2, we propose a new kernel method, local polynomial estimators, to estimate the ROC curve.
针对这些情况，本文给出一种新的核光滑估计即用局部多项式方法来拟合ROC曲线。 - The decoding algorithm is the kernel technique of RS code, and the step-by-step algorithm doesn ′ t need to search the error location polynomial, so it saves the decoding time compared with the traditional ones.
其译码算法是实现RS码的核心，Step-by-step算法与传统的译码算法相比，不用计算错误位置多项式，可以大大地节省译码时间。 - The kernel functions with the advantages of both polynomial kernel and Gauss kernel, not only have a good global property, but also have a strong ability to interpolate.
由于再生核核函数兼具多项式核函数和高斯核函数的优点，所以它不仅具有良好的全局性质，而且还具有很强的内推能力。 - A variables improved method of the kernel function is researched. And an amendments polynomial Wigner-Ville distribution for the train wheel real-time status monitoring is proposed.
提出了列车轮对状态实时监测的修正多项式WVD。研究了考虑频带变化因素的时核函数改进方法。 - The reproducing kernel function is constructed by the form of piecewise polynomial, which can simplify the calculation process.
文中所用到的再生核函数是以分段多项式形式给出的，这种形式的再生核函数大大简化了计算过程。 - Finally, we compared the combined kernel with Polynomial kernel and RBF kernel.
最后，将组合核函数与多项式核函数、RBF核函数进行了对比。 - Training and identifying SVM by selecting Gaussian kernel function and polynomial kernel function and using cross-validation method, the optimal parameter model is obtained and the significant experimental results are achieved, which lay a good foundation for further studies.
选择了高斯核函数和多项式核函数，应用交叉验证的方法对SVM进行训练识别，得到了最优的参数模型，取得了有一定意义的实验结果，为进一步的研究奠定了较好的基础。 - We tested the four methods ( experience distributing, segment linear function, kernel density estimating and local polynomial regress), showing that local polynomial regress is the best method for score transformation.
我们测试了4种非参数估计方法&经验分布，分段线性函数，核密度估计，局部多项式估计，结果显示局部多项式估计是最可靠的转换方法。 - Feature Sample Selection works well in reducing computation of FDA. Cosine Kernel Function is applied to enhance the performance of original Polynomial Kernel Function and Nearest Feature Line Classifier is used to improve the classifying accuracy of model. 4.
通过特征样本选择能够降低核费舍尔判别分析的计算复杂度，引入余弦核函数可以改进原始多项式核函数的性能，引入最近邻特征线分类器能够提高模型的分类准确率。 - Then, we introduce two kinds of kernel functions: Polynomial kernel and Gauss kernel.
同时我们还介绍了多项式核和高斯核这两种常用的核函数。