Sentence examples for multidimensional parameter distribution from inspiring English sources

In general, we considered both means and standard deviations as moment constrains of our multidimensional parameter distribution.

This approach is especially helpful in multidimensional parameter spaces.

For each repetition, the model parameters were refitted to obtain the corresponding parameter distribution.

There are two possible multidimensional parameter extensions of the fBm.

For a multidimensional parameter β, it is true in the following example.

There are two possible multidimensional parameter extensions of the subfractional Brownian motion.

Multidimensional parameter pairing is obtained automatically by this algorithm, which can avoid the performance degradation resulting from wrong pairing.

Particle swarm optimization [2] is a stochastic, population-based evolutionary algorithm for problem solving in complex multidimensional parameter spaces.

In this section, we present the multidimensional parameter estimation algorithm in polarimetric MIMO radar using PARAFAC quadrilinear decomposition.

In each of these cases one is seeking a point in a multidimensional parameter space that produces maximal perceived quality.

In addition, for the ESPRIT-based algorithm, an additional multidimensional parameter pairing for multiple targets is needed.