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Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)

Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)

Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)

This book covers the following topics: Machine Learning in Bioinformatics, Theoretical Background of Machine Learning, Support Vector Machines, Error Minimization and Model Selection, Neural Networks, Bayes Techniques, Feature Selection, Hidden Markov Models.

Author(s):

s400 Pages
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