Sentence examples for by maximizing the probability from inspiring English sources

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The optimal cells and part families were formed by maximizing the probability that a server is busy.

As predicted, male trees optimize the survival of their obligate pollinators by maximizing the probability of fig localization.

Now, we optimize the sum-throughput of nodes in the CP by maximizing the probability of being in the non-collision transmission states.

The parameters θ of the covariance function, e.g. θ = (σ2,l) for the squared exponential covariance function, are determined by maximizing the probability of the data given the parameters.

The GLRT takes into account the probability density function (PDF) of X t) to obtain a test function which is able to detect GNSS signals by maximizing the probability of detection (P d) subject to a given false alarm probability (P fa) [8]. Figure 1 shows a high-level block diagram of the proposed acquisition architecture.

PANDAseq merges fragments by maximizing the probability of true sequence matches, given the observed sequences.

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The PCA-based GLR fault detection algorithm provides optimal properties by maximizing the detection probability of faults for a given false alarm rate.

The classification obtained by maximizing the posterior probability compared well to previously published methods, providing a more intuitive and robust choice of the final classification threshold.

By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation can be obtained by maximizing the posterior probability.

The final estimate of the source locations can then be obtained by maximizing the posterior probability distribution (MAP estimate), or by taking the weighted mean over the particles as (6).

By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation, which is close to the true distribution, can be obtained by maximizing the posterior probability.

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