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Hi I read your paper _Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation_, and really want to try TIRT on my dataset, but I can't find the code in th…
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We currently have an example notebook: https://pgmpy.org/examples/Creating%20a%20Discrete%20Bayesian%20Network.html for creating discrete Bayesian networks but not for Linear Gaussian BNs. Write a sim…
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# Abstract
To get a lot of game money Bell in the popular game Animal Crossing worldwide, reselling turnips called Mutcoin or Mutstock is the most popular means. Dramatically successful Mutcoin tra…
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https://jakevdp.github.io/PythonDataScienceHandbook/04.08-multiple-subplots.html
**Linear Regression Derivation**
https://towardsdatascience.com/linear-regression-derivation-d362ea3884c2
**ASS*…
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I used Bayes net toolbox to create a Bayesian network and an influence diagram, but I want to display the two graphs, which tools can i use to display the two networks in terms of graphs?
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I'm currently working with GPyOpt to optimize hyperparameters of a neural network with Bayesian Optimization.
I just came to the idea, that you could define the bounds in a way, that you hand over hy…
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Dear Zachary,
I hope all is well.
I wanted to inquire about your pre-print and the beta/rank penalty parameter tuning for model selection.
Specifically in your manuscript, you've written :
…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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Hi, I'm totally new to these kinds of networks.
Can anybody help me with hyperparameter tuning for a specific architecture(e.g. unet) ?
for example changing activation functions, num of filters …