CS Events
Computer Science Department ColloquiumDynamically Compressed Bayesian Hidden Markov Models using Haar Wavelets |
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Wednesday, September 19, 2018, 10:00am |
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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. Alex Borgida, Prof. Anders Krogh, PhD (University of Copenhagen)
Event Type: Computer Science Department Colloquium
Abstract:
Organization:
Dept. of Computer Science
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