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I'm currently writing a interface that quick analyses, stores, and makes a figure of results for bayesian analysis, and noticed that for our the simple pymc model function, we aren't getting consisten…
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# Summary
This paper, titled "Kamala Harris Rises as the 2024 Election Front Runner: A Poll-of-Polls Forecast", analyzes and predicts Kamala Harris's level of support in the 2024 U.S. presidential el…
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https://pdfs.semanticscholar.org/484a/117837d59ccd11dbe0ffddadac7dbab77652.pdf
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After #44, see table 'paper_sel.xlsx'
* 4-ch sEMG w/ random placement. Try to achieve comparable performance.
* Compare separate FLX/EXT w/ most paper
* Compare separate PRO/SUP w/ paper 7 & 10 o…
dymnz updated
6 years ago
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Right now the IMM hard codes in the predict step, which makes it suitable only for linear process models.
At the minimum, make a predict() function that can be overloaded. This will allow easy impl…
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I am using Modoboa as a UI to a filtering mail server, where the final delivery is made on another server. I would like to have a way to submit spam email, ideally via a web interface API call, to ma…
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We possess datasets from 5 patients, each comprising 2 samples. The computation time exceeds 24 hours, and memory usage surpasses 400GB when merging all 10 samples together (60k cells, 8000 genes). To…
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- Abstract (2-3 lines)
Most of the ML models are limited to finding relationships between variables. In short models are not able to differentiate correlation and causation. Human being's ability to …
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Hello,
My research needs to change the prior distribution parameters to train a Bayesian Neural Network model. More specifically, I want to change the prior Gaussian distribution mu and sigma.
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