尽管核函数方法可以提取到非线性特征，但该方法并不一定能很好的降维。
Although the method based kernel functions can extract nonlinear features, it is not good to reduce dimension.
核函数方法中最为出名的是流行的支持向量机算法，它其实是一系列方法。
Kernel methods are best known for the popular method Support Vector Machines which is really a constellation of methods in and of itself.
核函数方法中最为有名的是流行的支持向量机算法，它实际上是一系列方法。
Kernel methods are best known for the popular method Support Vector Machines which is really a constellation of methods in and of itself.
然而，计算代价过大、核函数方法和参数寻优标准不确定性限制了SVM的应用范围。
However, the large computing cost and uncertain kernel method and standard uncertainty of parameter optimization don't contribute to the development of SVM.
不同于传统的抑制交叉项的核函数方法，该方法抑制交叉项的同时，保持WVD了高时频聚集性。
Unlike the traditional kernel function methods to suppress cross terms, our method not only reduces the interfering cross-terms but also preserves the superb time-frequency concentration of the WVD.
介绍了几种新的基于核函数方法的软测量建模技术，并提出了针对复杂工业过程的混合核函数软测量建模方法。
Several new modeling technologies based on kernel function are introduced and the modeling method of soft measurement based on hybrid kernel function is stated for complicated industrial processes.
核函数方法关心的是怎样把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函数方法关心的是如何把输入数据映射到一个高维度的矢量空间，在这个空间中，某些分类或者回归问题可以较容易地解决。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
第一章研究了一类二阶抛物型方程组的一种新数值方法-再生核函数法。
In Chapter One, a new method of approximating the solution of second-order parabolic system using reproducing kernel function is devised.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
运用解析方法对量子点的结构进行分析，通过对积分核函数进行计算，可以得到各种量子点结构的应力应变分布。
An analytical method based on Green's function for calculating strain filed in quantum dot structures of arbitrary shape was presented.
针对间歇生产过程的配方缺少定量分析方法，难以用于过程建模和控制策略实施的问题，提出了一种基于类核函数的配方模糊聚类算法。
This paper presents a new fuzzy cluster analysis method for batch process recipe that has less quantitative analysis ways before and is difficult to be used for modeling or controlling system.
本文提出了基于支持向量机模型预测钢淬透性的方法，并分析了核函数的选择对支持向量机建模的影响。
In this paper, an SVM-based approach applied to predict steel quenching degree is presented, and the effects of selecting kernel function on SVM modeling are also analyzed.
该方法只需对某一核合成算子进行简单的几何旋转建立合成算子函数，避免了复杂的波场外推。
A surface synthesis operator function is simply constructed by geometrically rotating a certain kernel synthesis operator, instead of complicated wave extrapolations.
仿真和实例分析表明：动态核函数能很好地去除交叉干扰项，提高分辨率，同时又证明了该方法的实用性和有效性。
The results of the simulation and real examples demonstrate that this new kernel function can remove the interference terms effectively and enhance the resolution of time-frequency plane.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
本文给出了利用偶-偶核非轴对称转动波函数与能极，以计算奇a核非轴对称转动波函数与能级的方法。
In this paper, we have given a method for calculating non-axial rotational wave functions and energy levels of odd-A nuclei by means of that of even-even nuclei.
本文主要讨论支持向量机方法在聚酯工业过程软测量建模中的应用，分析各类支持向量机算法、 参数及核函数的选择对建模精度的影响。
This paper presents the Support Vector Machine and its application to modeling in the polyester industry. Several SVM Algorithms and their kernel functions are presented and compared.
首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。
The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.
然后分析了多结点样条插值方法的逼近精度、正则性、插值核函数的频域特性。
Then the accuracy of approximation, regularity of many-knot splines interpolation method and frequency property of the interpolation kernel are worked out for comparison.
目标函数的构建和蒙特卡罗方法卷积核的获取，是调强放疗计划系统中的关键技术。
This paper mainly concerns two critical issues of IMRT: the objective function and the convolution kernels based on Monte Carlo method.
本文提出了利用一维核函数构造多维密度函数一个新估计的方法。
In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
本文重点论述这两种方法从不同的观点出发各自建立的核函数的区别和两种方法的实际应用效果。
This paper describes the difference between these two kernel functions, which are established respectively based on their own point of view.
本文重点论述这两种方法从不同的观点出发各自建立的核函数的区别和两种方法的实际应用效果。
This paper describes the difference between these two kernel functions, which are established respectively based on their own point of view.
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