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We use training based on Expectation Maximization for this fully unsupervised technique.
2008".TRUST-TECH-based Expectation Maximization for Learning Finite Mixture Models".IEEE Transactions on Pattern Analysis and Machine Intelligence30 7): 1146-1157.
An unsupervised adaptive method based on sequential expectation maximization for Gaussian mixture model is employed with new timing scheme and an additional averaging step to avoid over-fitting.
Multiple expectation maximization for motif elicitation.
using dedicated ordered subsets expectation maximization for multiplexing multipinhole reconstruction.
The MEME Suite (Multiple Expectation Maximization for Motif Elicitation) [50] was used for motif discovery in our previous study [31], and the discovered motifs were used.
Thus, we examined the sets of mRNAs that associate with PUM1 and PUM2 for the presence of common motifs using Multiple Expectation maximization for Motif Elicitation (MEME) as an unbiased motif discovery tool [51].
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Essentially PMHT is based on expectation-maximization for handling with association conflicts.
The algorithm employs an expectation-maximization for constructing a prior.
Widely used software programs that apply a probabilistic algorithm are BioProspector [ 10] and MEME (Multiple Expectation-maximization for Motif Elicitation) [ 11].
Thanks to the availability of the source code and documented API it was possible to use BNs as a part of a larger probabilistic model using Expectation-Maximization for parameter optimization.
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