Conference item

Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Hamze, F., & De Freitas, N. (2005). Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. Advances in Neural Information Processing Systems (NIPS).

MLA Style

Hamze, F., and N. De Freitas. “Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs.” Advances in Neural Information Processing Systems (NIPS), MIT Press, 2005.

Chicago Style

Hamze, F, and N De Freitas. 2005. “Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs.” In Advances in Neural Information Processing Systems (NIPS). MIT Press.
Share
Print

Authors

+ Hamze, F More by this author

Role:: Author

+ De Freitas, N More by this author

Role:: Author

Publisher:: MIT Press
Host title:: Advances in Neural Information Processing Systems (NIPS)
Publication date:: 2005-01-01

UUID:: uuid:8a0ec7a7-626b-4ec4-aab5-8bcb1f9aa725
Local pid:: cs:7512
Deposit date:: 2015-03-31

Terms of use

Copyright date:: 2005

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP