Examples of using Gaussian in English and their translations into Chinese
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Gaussian Mixture Model Sine Curve shows using GaussianMixture and BayesianGaussianMixture to fit a sine wave.
GaussianMixtureModelSineCurve这个例子展示了用GaussianMixture和BayesianGaussianMixture来拟合正弦波。We have assumed that the variance of the Gaussian distribution over the data is known and our goal is to infer the mean.
The resulting code, though not as fast as Jaguar, NWChem, Gaussian, or GAMESS, is much easier to understand and modify.
书写的代码虽然不像Jaguar，Gaussian或者GAMESS那样快，但是容易理解，易于修改。Gaussian noise, which has zero mean, essentially has data points in all frequencies, effectively distorting the high frequency features.
具有零均值的高斯噪声基本上在所有频率中具有数据点，从而有效地扭曲高频特征。G= imnoise(f, Gaussian, m, var) adds Gaussian noise of mean m and variance var to image f.
G=imnoise(f,'gaussian',m,var)将均值为m、方差为var的高斯噪声加到图像f上。Today, we will talk about a more accurate formulation for Gaussian beams, available as of version 5.3a of the COMSOL® software.
今天，我们将讨论更精确的高斯光束公式，COMSOL®软件从5.3a版本开始提供此公式。Let's say we have three Gaussian distributions(more on that in the next section)- GD1, GD2, and GD3.
假设我们有三个高斯分布(下一节会详细介绍)--GD1、GD2和GD3。The most commonly used distribution over real numbers is the normal distribution, also known as the Gaussian distribution.
实数上最常用的分布就是正态分布(normaldistribution)，也称为高斯分布(Gaussiandistribution)：.The Kalman filter-based techniques are based on the assumption that uncertainty in the robot's position can be represented by a unimodal Gaussian distribution.
基于卡尔曼滤波的技术基于一个假设：机器人位置的不确定性可以通过一个单峰高斯分布表示。We add a constraint on the encoding network, that forces it to generate latent vectors that roughly follow a unit gaussian distribution.
于是，我们在编码网络中增加了一个约束，迫使它产生大致遵循单位高斯分布的潜在向量。The first option determines the number of discretization levels, depending on how fine you want to represent the Gaussian beam.
第一个选项决定离散化级别的数量，具体取决于你想要表示高斯光束的精细程度。The Kalman filter assumes that both variables(postion and velocity, in our case) are random and Gaussian distributed.
卡尔曼滤波假设两个变量(位置和速度，在这个例子中)都是随机的，并且服从高斯分布。These and other computational Bayesian methods have been applied to sophisticated learning algorithms such as Gaussian process models and neural networks.
这些和其它计算的贝叶斯方法已经应用到复杂的学习算法中，比如高斯过程模型和神经网络。We can use the randn() NumPy function to generate a sample of random numbers drawn from a Gaussian distribution.
我们可以使用NumPy的randn()函数，生成从高斯分布中抽取的随机数的样本。In 1970, John Pople developed the Gaussian program greatly easing computational chemistry calculations.
年约翰·波普开发了GAUSSIAN程序，大大简化了计算化学的运算。When your data is real-valued it is common to assume a Gaussian distribution bell curve so that you can easily estimate these probabilities.
当你的数据是实值时，通常假设一个高斯分布（钟形曲线），这样你可以简单的估计这些概率。Gaussian minimum shift keying(GMSK) is a form of frequency shift keying(FSK) used in GSM systems.
GMSK高斯最小频移键控(GMSK)是频移键控(FSK)的一种形式，用于GSM系统。Now that we have a Gaussian distribution for p(aN +1|tN), we can approximate the integral(6.76) using the result(4.153).
现在我们有一个的高斯分布，我们可以使用式（4.153）的近似积分（6.76）。The right-hand Gaussian has less weight(only one fifth of the data points), and it is a less broad cluster.
右边的高斯具有较小权重（只有1/5的数据点），是较窄的类。I'm sure you're familiar with Gaussian Distributions(or the Normal Distribution).
我相信你们对高斯分布(或正态分布)很熟悉。
