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Bachelor Thesis on Monads for Uncertainty
A work-related blog post for a change, but still about Haskell. My student Alexander Kuhnle has submitted his bachelor thesis “Modeling Uncertain Data using Monads and an Application to the Sequence Alignment Problem” today, in which he explores way to generalize algorithms from bio informatics (in particular suffix tree) to work on data with uncertainties of various kinds (indeterminism, probabilities etc.). He utilizes monads and variations thereof to make the code polymorphic in the particular kind of uncertainty. If this sounds interesting to you, have a look, and feel free to share your optinion with us.
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