Questions tagged [probabilistic-machine-learning]
The probabilistic-machine-learning tag has no usage guidance.
5
questions
0
votes
0
answers
38
views
Should the norm of samples from an untrained denoising diffusion probabilistic model scale with number of diffusion steps?
I have implemented a diffusion probabilistic model for the first time, and I am finding some of the model behavior undesirable, but I am not sure if it is normal or the result of an incorrect ...
- 11
2
votes
0
answers
141
views
What is the difference between Probabilistic Graphical models and Graph Neural networks?
While going over PGMs and GNNs, it seems like both leverage the graph data structure. The former has been used to represent causal associations (among other things), while the latter has a varied set ...
- 618
0
votes
2
answers
86
views
What is the definition of "confidence interval" around a (complicated) function?
Consider the following excerpt from Chapter 5: Machine Learning Basics from the book titled Deep Learning (by Aaron Courville et al.)
Machine learning is essentially a form of applied statistics with ...
- 3,622
1
vote
1
answer
462
views
What does a hybrid Bayesian network contain?
The field of artificial intelligence is so vast. There are many methodologies for handling continuous data, and I have just read about the hybrid Bayesian network. I just want to know that what a ...
- 75
5
votes
5
answers
424
views
How would AI be able to self-examine?
As I see some cases of machine-learning based artificial intelligence, I often see they make critical mistakes when they face inexperienced situations.
In our case, when we encounter totally new ...
