Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Split-Merge on Class Labels #2

Open
ryanneph opened this issue Dec 5, 2017 · 0 comments
Open

Split-Merge on Class Labels #2

ryanneph opened this issue Dec 5, 2017 · 0 comments

Comments

@ryanneph
Copy link
Owner

ryanneph commented Dec 5, 2017

Following http://arxiv.org/abs/1201.1657 we should implement the HDP split-merge algorithm on the corpus-level (class; k) labels due to its potential to speed up mixing of the Gibb's sampler. The authors claim that "Split- merge algorithms can consider larger moves in the state space and have the potential to converge more quickly."

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant