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Hello,
Thanks for creating this package! I was wondering if you could help me with an example to create a **hierarchical HMM?** I'm looking to have two levels of states - the higher governs the stru…
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#### Summary:
The section on HMMs in the user's guide should be rewritten to use the new(ish) built-ins
#### Description:
Replace this user's guide section: https://mc-stan.org/docs/2_29/sta…
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From anonymous:
[The manuscript states that] read coverage doesn't follow a normal distribution and yet [this software uses] a Gaussian transformation to assess the p-value of the variation. This see…
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This would be as a replacement for the current part of speech identification. It would be optional (for speed), and use modern techniques for part of speech identification like Hidden Markov Models. T…
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Once the HMM is trained, it's show time !
We implement Viterbi algorithm with some smoothing mechanism (back-off to begin with)
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great code thanks but
installation in windows 10 fails
Microsoft Windows [Version 10.0.17134.1130]
(c) 2018 Microsoft Corporation. All rights reserved.
D:\code\abcd\pip install https://gi…
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Hi Oscar,
Awesome initiative! If possible, it'd be great to have my book in the Life sciences section :blush: It's work in progress but should be finished in 6 months or so. It's entitled
> Bayes…
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Dear Jordan,
Thank you for making this code public. It has helped me a lot in my research.
However, I have learned from other literature that **the sum of each row of the Transition Probability …
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### Feature Name
Hidden Markov Models (HMM)
### Feature Description
Hidden Markov Models (HMMs) are statistical models that describe a sequence of observable events, assuming a hidden underlying st…
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This issue proposes a pyro.contrib.agents module for building agent-based models and using control to guide their actions to maximize rewards.
This modeling task is commonly described as model-bas…