multivariate gaussian distribution造句

例句与造句

1. This result and the above result for a single compound distribution extend trivially to the case of a distribution over a vector-valued observation, such as a multivariate Gaussian distribution.
2. The projections w ^ T \ phi ( x ) + b of the class elements \ phi ( x ) follow a multivariate Gaussian distribution, which have variance 1 / \ zeta.
3. Thus, Stein's example can be simply stated as follows : " The ordinary decision rule for estimating the mean of a multivariate Gaussian distribution is inadmissible under mean squared error risk ."
4. We can now build a Gaussian process by assuming \ mathbf { w } = [ w ^ 1, \ ldots, w ^ p ] ^ \ top to be distributed according to a multivariate Gaussian distribution with zero mean and identity covariance matrix,
5. On the other hand, if the observed variable is an-dimensional vector distributed according to an arbitrary multivariate Gaussian distribution, there will be parameters controlling the means and \ frac { M ( M + 1 ) } 2 parameters controlling the covariance matrix, for a total of N \ left ( M + \ frac { M ( M + 1 ) } { 2 } \ right ) = \ frac { NM ( M + 3 ) } 2 = O ( NM ^ 2 ) emission parameters . ( In such a case, unless the value of is small, it may be more practical to restrict the nature of the covariances between individual elements of the observation vector, e . g . by assuming that the elements are independent of each other, or less restrictively, are independent of all but a fixed number of adjacent elements .)
6. It's difficult to find multivariate gaussian distribution in a sentence. 用multivariate gaussian distribution造句挺难的