Sentence examples for a sequence of estimates from inspiring English sources

Starting from an initial guess of the parameters, the method consists in finding iteratively a sequence of estimates of θ, where each estimate is based on the previous one.

This is an iterative technique that generates a sequence of estimates X k, k=0,1,2, … that will converge to a solution provided that the initial estimate X 0 is itself close enough to the intersection.

The G-N approach performs iterative gradient descent, starting with an initial estimate X 0. It generates a sequence of estimates as follows: begin{array}rcl@ boldsymbol{X}_{k+1} &=& boldsymbol{X}_{k} - boldsymbol{delta}_{k} end{array} (18).

In addition, although target tracking per se is not considered in this paper, performance is evaluated both under the assumption that sequential location estimates are not aggregated as well as under the assumption that some sort of tracker is available to aggregate a sequence of estimates.

The expectation-maximization (EM) algorithm [12], which is tailored to deal with a nuisance parameter such as c, produces a sequence of estimates ν Ì‚ ( i ), i = 1,2,... according to ν Ì‚ ( i ) = arg max ν E ln p ( r | ν, c ) p | r, ν Ì‚ ( i âˆ' 1 ), (10).

As discussed in Wu [ 9], if the likelihood function is unimodal and satisfies some differentiability conditions, EM algorithm produces a sequence of estimates that converge to the actual MLE.

From the salary medians we constructed a sequence of estimated median incomes, year by year, for each school's class of 1994.

For a mutation pair (i, j), this resulted in a sequence of estimated deviations <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0003284.e040.PNG" class= inline-graphic"/> for step l at which the size of the approximation subset equals k.

In [10], the stochastic approximation method is introduced to solve the problem of the form (8). The basic idea is to generate a sequence of the estimates of the optimal antenna subset where the new estimate is based on the previous one by moving a small step in a good direction towards the global optimizer.

Devising a representation suitable for characterizing human actions on the basis of a sequence of pose estimates generated by an RGBD sensor remains a research challenge.

An example is motion parallax, based on a sequence of azimuth estimates, which can be used to triangulate sound source location.