English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Exponential Families for Conditional Random Fields

Altun, Y., Smola, A., & Hofmann, T. (2004). Exponential Families for Conditional Random Fields. In C. Meek, M. Chickering, & J. Halpern (Eds.), UAI '04: 20th Annual Conference on Uncertainty in Artificial Intelligence (pp. 2-9). New York, NY, USA: ACM Press.

Item is

Files

show Files
hide Files
:
pdf2741.pdf (Any fulltext), 156KB
Name:
pdf2741.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://dl.acm.org/citation.cfm?id=1036844 (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Altun, Y, Author              
Smola, AJ, Author              
Hofmann, T1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: In this paper we define conditional random fields in reproducing kernel Hilbert spaces and show connections to Gaussian Process classification. More specifically, we prove decomposition results for undirected graphical models and we give constructions for kernels. Finally we present efficient means of solving the optimization problem using reduced rank decompositions and we show how stationarity can be exploited efficiently in the optimization process.

Details

show
hide
Language(s):
 Dates: 2004-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2741
 Degree: -

Event

show
hide
Title: 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004)
Place of Event: Banff, Canada
Start-/End Date: 2004-07-07 - 2004-07-11

Legal Case

show

Project information

show

Source 1

show
hide
Title: UAI '04: 20th Annual Conference on Uncertainty in Artificial Intelligence
Source Genre: Proceedings
 Creator(s):
Meek, C, Editor
Chickering, M, Editor
Halpern, J, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2 - 9 Identifier: ISBN: 0-9749039-0-6