Returning to the example above, when the covariance is zero it is trivial to determine the location of the object after it moves according to an arbitrary nonlinear function f ( x, y ) : just apply the function to the mean vector.
12.
Where n is the length / dimension of x and \ frac { \ partial g ( \ mu ) } { \ partial x _ i } is the partial derivative of g at the mean vector \ mu with respect to the " i "-th entry of x.
13.
If I and III are equal in magnitude ( don't need the same sign ), then the mean vector can be 150?or-30? but in those cases lead II will be smallest, so the only possibilities left are + 60?or-120? depending on the sign of the lead II result.
14.
The mean vector and covariance matrix of the Gaussian distribution completely specify the GP . GPs are usually used as a priori distribution for functions, and as such the mean vector and covariance matrix can be viewed as functions, where the covariance function is also called the " kernel " of the GP . Let a function f follow a Gaussian process with mean function m and kernel function k,
15.
The mean vector and covariance matrix of the Gaussian distribution completely specify the GP . GPs are usually used as a priori distribution for functions, and as such the mean vector and covariance matrix can be viewed as functions, where the covariance function is also called the " kernel " of the GP . Let a function f follow a Gaussian process with mean function m and kernel function k,
How to say mean vector in Hindi and what is the meaning of mean vector in Hindi? mean vector Hindi meaning, translation, pronunciation, synonyms and example sentences are provided by Hindlish.com.
