Questions tagged [bayesian-statistics]
For questions related to Bayesian statistics in the context of artificial intelligence. Bayesian statistics is a system for describing uncertainty using the mathematical language of probability. Bayesian statistical methods start with existing "prior" beliefs, and update these using data to give "posterior" beliefs.
4
questions with no upvoted or accepted answers
3
votes
0answers
44 views
Why do Bayesian algorithms work well with small datasets?
I read very often that Bayesian algorithms work well on small datasets. Why is that? I think it is because they might generalize more, but why is that?
See also Investigating the use of Bayesian ...
1
vote
0answers
44 views
Will adding memory to a supervised learning system makes it into a Bayesian learning system?
Seung et.al recently published GameGAN paper, GameGAN learned and stored the whole Pacman game and was able to reproduce it without a game engine. The uniqueness of GameGAN is that it had added memory ...
1
vote
0answers
39 views
Can anyone explain the pixelwise accuracy metric used in this paper? Also a question to the KL Divergence Loss
So I am making a project based on this paper:
https://arxiv.org/ftp/arxiv/papers/1901/1901.07761.pdf
In this paper, a U-Net is used to generate optimized mechanical structures. I am trying to ...
0
votes
0answers
34 views
Thompson sampling with Bernoulli prior and non-binary reward update
I am solving a problem for which I have to select the best possible servers (level 1) to hit for a given data. These servers (level 1) in turn hit some other servers (level 2) to complete the request. ...