Multivariate gaussian classifier implementation. Trouble understanding, going from Naive gaussian.
多元高斯分类器的实现。很难理解,从天真的高斯。
And if there are no overlaps between each Gaussian component, parameters of Gaussian mixture PDF model can be exact estimated quickly with the dynamic cluster algorithm (DC).
而在各高斯分量概率密度互不重叠的条件下,使用动态簇算法(DC)则可快速而精确地估计出混合高斯模型参数。
The Gaussian ray bundle is similar to Gaussian beam, except that it uses a simpler method to arrive at the width of the Gaussian.
高斯射线束方法相对于高斯波束方法的改进在于它使用了一个简单的经验公式来计算声束宽度。
So the test on the left, you'll remember, was the one with test one, I believe, was the uniform distribution, and test two is the Gaussian.
所以左边的测试,你得记得就是均匀分布,而第二个测试是高斯分布。
And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
然后我在这里再写一个高斯分布的函数,它的浮动值的平均值和,标准偏差值都除了2。
It will return me some random value from either the Gaussian or the normal distribution.
它会给我,返回符合高斯分布。
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