Sentence examples for a new likelihood from inspiring English sources

In addition, a new likelihood function is defined to allow damage identification without the need for calibrating a reference FE model.

Second, the speaker models with the top N-best likelihoods are used to calculate a new likelihood according to different compensation parameter sets.

As more serologic data become available, revised estimates of the scaling factor can then be produced using a Bayesian framework (the current estimate is used as prior and the new samples provide a new likelihood function).

Here we present a new likelihood ratio test method for identifying acceleration in noncoding elements.

This approach offers great flexibility to implement extensions of the model like the one we presented in Equation 3 to account for the biased recombination, simply by modifying the way simulation is performed without the need to compute a new likelihood function.

Here, we describe a new likelihood ratio test that is an extension of the method of Stekel et al. 2000 [ 15], that instead of identifying differentially expressed genes across a set of different libraries, will identify genes that are differentially expressed between two groups of libraries; within the groups the libraries should be the same, but between groups they may be different.

A new likelihood-based estimator N B ^ for contemporary effective population size using temporal data is developed in this article.

Furthermore, a new discriminative likelihood score weighting technique was proposed for speaker identification, and a likelihood score weighting method was presented for the speaker identification task [24].

In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification.

A new empirical likelihood approach is developed to analyze data from two-stage sampling designs, in which a primary sample of rough or proxy measures for the variables of interest and a validation subsample of exact information are available.

This paper presents a new maximum likelihood detection- (MLD-) based signal detection method for orthogonal frequency division multiplexing (OFDM) multiple-input multiple-output (MIMO) multiplexing with frequency domain spreading and code multiplexing.