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Machine learning / Computational statistics / Computational phylogenetics / Hidden Markov model / Sequence alignment / Algorithm / Baum–Welch algorithm / Markov chain / Expectation–maximization algorithm / Markov models / Statistics / Bioinformatics


Similarity-Based Alignment and Generalization Daniel Oblinger, Vittorio Castelli, Tessa Lau, and Lawrence D. Bergman IBM T.J. Watson Research, New York oblio,vittorio,tessalau, Abstract. We present a
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Document Date: 2005-11-29 11:04:24


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File Size: 138,66 KB

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Company

Microsoft / /

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IndustryTerm

neural networks / web browser steps / sequence alignment algorithms / sequence learning algorithms / computer networking domain / iterative algorithm / learning algorithms / /

OperatingSystem

Microsoft Windows / /

Person

Daniel Oblinger / Lawrence D. Bergman / Tessa Lau / /

Position

procedure author / representative / /

Product

SimAlignGen / /

Technology

IOHMM algorithms / E-M algorithm / iterative algorithm / sequence alignment algorithms / DOM / bona-fide E-M algorithm / DNS / sequence learning algorithms / Baum-Welch algorithm / two algorithms / SimAlignGen algorithms / Generalized E-M algorithm / GUI / /

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