的线性组合 in English translation

• linear combination
• linear combinations

Examples of using 的线性组合 in Chinese and their translations into English

协整检验的目的是确定一组非平稳序列的线性组合是否具有稳定的均衡关系。
The purpose of cointegration test is to determine whether a linear combination of a set of non-stationary sequences has a stable equilibrium relationship.

在数学中，线性回归是确定变量的线性组合系数的方法：.
In mathematical terms, linear regression is a method of determining coefficients of a linear combination of variables.

载波相位定位载波相位定位所采用的观测值为GPS的载波相位观测值，即L1，L2或它们的某种线性组合。
The observations used for carrier phase positioning are the GPS carrier phase observations, ie L1, L2 or some kind of linear combination of them.

但是（在4维情形中）这一项是另两项和一个表面项的线性组合。更多细节可以参考词条高斯-伯内特引力。
But(in 4-dimensions) this term is a linear combination of the other two terms and a surface term. See Gauss- Bonnet gravity for more details.

稀疏编码-将数据向量建模为基向量的线性组合，大量地应用于机器学习、神经科学、信号处理及统计学。
Sparse coding- that is, modelling data vectors as sparse linear combinations of basis elements- is widely used in machine learning, neuroscience, signal processing, and statistics.

在几何形状，笛卡尔卵形线的名字命名的勒内*笛卡尔，是一个平面曲线，设定的要点具有相同的线性组合的距离从两个固定点。
In geometry, a Cartesian oval, named after René Descartes, is a plane curve, the set of points that have the same linear combination of distances from two fixed points.

这两种方法都将新的预测变量（称为成分）构建为原始预测变量的线性组合，但它们构建这些成分的方式不同。
Both methods construct new predictor variables, known as components, as linear combinations of the original predictor variables, but they construct those components in different ways.

线性滤波器满足重叠条件，例如，如果一个输入信号是不同权重信号的组合，输出就是同等权重的对应输出信号的线性组合。
Linear filters satisfy the superposition principle, i.e. if an input is a weighted linear combination of different signals, the output is a similarly weighted linear combination of the corresponding output signals.

这意味着，一个输入属于类y标准就纯粹成为一个已知观察值的线性组合的函数。
This means that the criterion of an input x→{\displaystyle{\vec{x}}} being in a class y is purely a function of this linear combination of the known observations.

LDA与方差分析（ANOVA）和回归分析紧密相关，这两种分析方法也试图通过一些特征或测量值的线性组合来表示一个因变量。
LDA is closely related to analysis of variance(ANOVA) and regression analysis, which also attempt to express one dependent variable as a linear combination of other features or measurements.

集成方法改变了假设空间（例如从单独的决策树变成了决策树的线性组合），而且可以采用多种多样的形式。
Ensembles change the hypothesis space(for example, from single decision trees to linear combinations of them), and can take a wide variety of forms.

它们对于将任何面部图像表达为它们的线性组合非常有用。
They are very useful for expressing any face image as a linearcombination of some of them.

此函数是非线性的，因为它不能表示为两个β{\displaystyle\beta}的线性组合。
This function is nonlinear because it cannot be expressed as a linear combination of the two β{\displaystyle\beta} s.

使用费舍尔线性判别得到的线性组合称为费舍尔脸，而通过主成分分析得到称为特征脸。
The linear combinations obtained using Fisher's linear discriminant are called Fisher faces, while those obtained using the related principal component analysis are called eigenfaces.

相比于选择特征的线性组合（就像在GLM做的一样），神经网络会产生一个高度非线性的特征组合。
Instead of taking a linear combination of the features(as one does in GLM's), a neural network produces a highly non-linear combination of features.

LDA也与主成分分析（PCA）和因子分析紧密相关，它们都在寻找最佳解释数据的变量线性组合。
LDA is also closely related to principal component analysis(PCA) and factor analysis in that they both look for linear combinations of variables which best explain the data.

它采用线性组合的特征并对其应用非线性函数（sigmoid），因此它是一个非常小的神经网络实例。!
It takes linear combination of features and applies non-linear function(sigmoid) to it, so it's a very very small instance of neural network!

逻辑回归哪里强？它接受线性组合的特征，并对其应用非线性函数（sigmoid），所以它是一个非常非常小的神经网络实例！!
It takes linear combination of features and applies non-linear function(sigmoid) to it, so it's a very very small instance of neural network!

每个主成分都是原始变量的线性组合。
Each principal component(PC) is a linear combination of the original variables.

主成分是原始变量的线性组合.
Principal components are the linear combinations of the original variables.