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Michael Paul Stewart Brown

Michael Paul Stewart Brown. Bioinformatics. Application of probabilistic and machine learning techniques to new bioinformatics problems with large amounts of data. Probabilistic models. Hidden Markov models, stochastic context-free grammars, graphical models, Fisher features. Classifiers, Machine Learning. Support vector machines, Guassian processes, information geometries, boosting. Unsupervised learning of concepts. Mixture and product models, simulated annealing, Expectation Maximization.

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Michael Paul Stewart Brown | openboundlabs.com Reviews
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Michael Paul Stewart Brown. Bioinformatics. Application of probabilistic and machine learning techniques to new bioinformatics problems with large amounts of data. Probabilistic models. Hidden Markov models, stochastic context-free grammars, graphical models, Fisher features. Classifiers, Machine Learning. Support vector machines, Guassian processes, information geometries, boosting. Unsupervised learning of concepts. Mixture and product models, simulated annealing, Expectation Maximization.
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Michael Paul Stewart Brown | openboundlabs.com Reviews

https://openboundlabs.com

Michael Paul Stewart Brown. Bioinformatics. Application of probabilistic and machine learning techniques to new bioinformatics problems with large amounts of data. Probabilistic models. Hidden Markov models, stochastic context-free grammars, graphical models, Fisher features. Classifiers, Machine Learning. Support vector machines, Guassian processes, information geometries, boosting. Unsupervised learning of concepts. Mixture and product models, simulated annealing, Expectation Maximization.

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Michael Paul Stewart Brown Publications

http://www.openboundlabs.com/mpsbHomepage/mpsbPapers/index.html

Michael Paul Stewart Brown Publications. Dynamic regulation of HIV-1 mRNA populations analyzed by single molecule enrichment and long read sequencing. Nucleic Acids Res. 2012 Nov 1;40(20):10345-55. doi: 10.1093/nar/gks753. Http:/ nar.oxfordjournals.org/content/early/2012/08/24/nar.gks753.long. A simulation-approximation approach to sample size planning for high-dimensional classification studies. Biostatistics. 2009 July; 10(3): 424- 35. InProceedings{brown00:ismb ssurrna, author = {Michael P.S. ...PhdTh...

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