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Titlebook: Computational Life Sciences II; Second International Michael R. Berthold,Robert C. Glen,Ingrid Fischer Conference proceedings 2006 Springer

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61#
發(fā)表于 2025-4-1 04:36:44 | 只看該作者
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發(fā)表于 2025-4-1 09:18:27 | 只看該作者
https://doi.org/10.1007/978-3-531-90746-8 a minimum sum of reversal distances to the three given gene orders. This problem is called Reversal Median problem (RMP). The RMP is studied here under the constraint that common (combinatorial) structures are preserved which are modeled as common intervals. An existing branch-and-bound algorithm f
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發(fā)表于 2025-4-1 12:41:32 | 只看該作者
https://doi.org/10.1007/978-3-322-95168-7 as the sole constraint. This is the case regardless of the nature of the regression method (parametric or non-parametric)[1]. In this article we present the development of a regression model using .[2] – A technique that takes into account additional available information about the “system” which t
64#
發(fā)表于 2025-4-1 16:23:06 | 只看該作者
Gesundheitsschutz am Bildschirmarbeitsplatz,ination of hidden Markov models (HMMs) and principal component analysis. We derive optimal estimators for the log-likelihood functional and employ the Expectation Maximization algorithm for its numerical optimization. We demonstrate the performance of the method on a generic 102-dimensional example,
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