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Hi Tom and all,

This looks interesting. I think there may be some ways to link the variational approach to this.

I have looked at the variational approach and done a few experiments. There are a number of issues to look into but I think it is promising so far.

Ciira

On Tue, Sep 6, 2022 at 6:20 PM Dietterich, Thomas <tgd@oregonstate.edu> wrote:

I spent the weekend running experiments on the latent precipitation model. Instead of fitting the model with Bernoulli noise, I fit it with Gaussian noise (which is tractable). It works pretty well on the Oklahoma data. We can discuss this on Wednesday.

 

--Tom

 

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559

School of Electrical Engineering              FAX: 541-737-1300

  and Computer Science                        URL: eecs.oregonstate.edu/~tgd

US Mail: 1148 Kelley Engineering Center

Office: 2067 Kelley Engineering Center

Oregon State Univ., Corvallis, OR 97331-5501

 

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Ciira Maina, Ph.D.

Snr. Lecturer, Department of Electrical and Electronic Engineering,

Director, Centre for Data Science and Artificial Intelligence (DSAIL),

Dedan Kimathi University of Technology.

Nyeri-Kenya

Webpage: http://www.ciirawamaina.com/

Blog: http://ciirawamaina.com/blog/blog.html

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