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To better exploit the probability density function (pdf) of the source, Chatterjee and Sreenivas [14] developed a switched conditional pdf-based SVQ where the vector space is partitioned into non-overlapping Voronoi regions, and the source pdf of each switching Voronoi region is modeled by a multivariate Gaussian.
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A new approach to interpolation is proposed for simultaneous image interpolation and smoothing by exploiting the probability filter coupled with a pyramidal decomposition and the Poisson MAP super-resolution is improved with the techniques of edge maps and pseudo-blurring.
We choose to simplify this process by exploiting the probability of intra-coding, as shown in Figure 5, in which the same effects tend to have similar curves of intra-coding rates in P frames.
While the MLSE algorithm assumes the prior probabilities P d) of the transmitted symbols to be equal, the MAP algorithm is able to exploit the prior probabilities P d), if necessary, in order to enhance the quality of posterior probabilistic information on each individual transmitted symbol.
We first calculate the probability of a total absence of heads and then exploit the complement rule: Probability (at least one head) = 1 − Probability (no heads).
But because all confidence intervals for the AUC are relatively complicated to implement, and some of them either do not maintain or do not exploit the type I error probability α for small sample sizes or large values for the AUC, we investigated alternatives.
Conditional probabilities exploit the hierarchical structure of the model to give exact first-order indices, while MC could be a more flexible approach for the introduction of correlations among variables.
Steendam et al. [17] investigated the effects of carrier phase offsets on a low-density parity-check (LDPC) coded system, and then proposed a maximum likelihood (ML -based carrier phase synchronization algorithML -basedploits the posterior probabilities of the data symbols.
Posterior-Viterbi, exploits the posterior probabilities and at the same time preserves the grammatical constraint.
Thus, we use another approach to estimate posterior probability, using OVR-SVMs to exploit the outputs of all SVMs to estimate overall probabilities.
During the statistical data processing, information on measurement uncertainty derived from the variance across technical replicates is exploited using the probability of positive log ratio (PPLR) statistic (Liu et al., 2006; Pearson et al., 2009) to score the differential abundance/expression of biomolecules across the biological conditions.
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