Sentence examples for estimation with the same from inspiring English sources

In this work, we present and discuss the results obtained for CO, NO2 and total NOx pollutants concentration estimation with the same set up.

From a Bayesian viewpoint, Equation (17) is equivalent to the MAP estimation with the same Gaussian error as in Equation (6), but the following discrete prior: (18) P r (x ) = 0. 5 k if x ≥ 0, 0 otherwise.

Again, the best result belongs to the one based on a full grid of pilot tones followed by the data; although, the proposed method remarkably reduces the estimation error with the same burst structure as in [29].

It fits well within previous estimations made with the same strict cutoff.

Applied to a sequence labeling problem -- POS tagging given a tagging dictionary and unlabeled text -- contrastive estimation outperforms EM (with the same feature set), is more robust to degradations of the dictionary, and can largely recover by modeling additional features.

Estimation was performed with the same true/full model corresponding as the alternative hypothesis and a model without any drug dependent effect on Kout corresponding as the null hypothesis.

Comparing the afterslip distribution shown in Fig. 7(a) with their estimation from the same dataset including the PGs data (i.e., figure 6(b) in Baba et al., 2006), we become aware that these two results are generally very similar to each other.

Stereologic estimations were performed with the same parameters in the SNpc of wildtype or Nurr1 heterozygous mice that received saline, 1XMETH or 2XMETH treatment (n = 6) for each treatment group.

Similar diagrams were drawn for all the example populations; in each case, all of the five parts of those diagrams were virtually identical overlays of each other, showing that all the double sampling estimators were behaving with the same efficiency of estimation in any of the examples.

After LS frequency tracking, using the LS channel estimation for the same frequency-selective channel with the same offset δ = 0.2, Figure 2 gives the CFR estimator variance or MSE against SNR obtained from Monte Carlo simulations as well as from the theoretical results of (29) under imperfect frequency offset estimations for the same three L values.

To see how PEDI performs in comparison with state-of-the-art parameter estimation methods, we applied SRES, HEKF + MM and TDDM to the parameter estimation of the same gene circuit models with the same datasets.