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Pre-Defense

Dynamically Compressed Bayesian Hidden Markov Models using Haar Wavelets

 

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Thursday, July 12, 2018, 10:00am
 

In bioinformatics, Hidden Markov Models (HMM) are a powerful tool which is used, among other things, to find candidate regions of genomic copy-number variants (CNV). While frequentist inference techniques such as Baum-Welch have come under increased scrut

Speaker: John Wiedenhoeft

Bio

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Location : CoRE B (305)

Committee: 

Dr. rer. nat. Alexander Schliep (Chair), Prof. Martin Farach-Colton, Prof. Kevin C. Chen, Prof. Anders Krogh, PhD (University of Copenhagen)

Event Type: Pre-Defense

Abstract: 

Organization: 

Dept. of Computer Science