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Patil et al. proposed a Bayesian network based filtering method for high-throughput protein interaction data using biological features of protein domain, functional similarity, and homology.
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Therefore, the smart phonetic query selection process is performed independently for the GMM- and MLP- based filtering methods.
Figure 4 Prediction result of demographic based filtering methods.
Figure 5 Prediction result of Twitter statistics based filtering methods.
A time-domain adaptive filtering method for the active intensity control is also suggested and experimental results for an open ended duct based on the adaptive filtering method are presented.
In this paper, we have given a brief overview of linear filtering methods for speech enhancement based on two approaches: a so-called conventional approach and an approach based on the orthogonal decomposition.
The available denoised response using wavelet based filtering is compared with that of conventional Butterworth filtering method.
A number of filtering methods for fundamental frequency estimation have been considered in this paper, namely the classical comb filtering and maximum likelihood methods along with some more recent methods based on optimal filtering.
Two primary methods are currently implemented for genotype calling: (i) a filtering method based on a fixed number of observed variant nucleotides and (ii) a probabilistic method based on posterior genotype probabilities.
This paper introduces an automated noise filtering method based on the construction of orthogonal polynomials.
One of the oldest methods for pitch estimation is the comb filtering method [21, 22], which is based on the following ideas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com