English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Tailoring density estimation via reproducing kernel moment matching

Song, L., Zhang, X., Smola, A., Gretton, A., & Schölkopf, B. (2008). Tailoring density estimation via reproducing kernel moment matching. In W. Cohen, A. McCallum, & S. Roweis (Eds.), ICML '08: Proceedings of the 25th international conference on Machine learning (pp. 992-999). New York, NY, USA: ACM Press.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C843-B Version Permalink: https://hdl.handle.net/21.11116/0000-0003-431B-4
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://dl.acm.org/citation.cfm?doid=1390156.1390281 (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Song, L, Author
Zhang, X, Author
Smola, A, Author           
Gretton, A1, 2, Author           
Schölkopf, B1, 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: Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture
models. Our approach works by embedding
distributions into a reproducing kernel Hilbert
space, and performing moment matching in that
space. This allows us to tailor density estimators
to a function class of interest (i.e., for which
we would like to compute expectations). We
show our density estimation approach is useful
in applications such as message compression in
graphical models, and image classification and
retrieval.

Details

show
hide
Language(s):
 Dates: 2008-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://icml2008.cs.helsinki.fi/papers/icml2008proceedings.pdf
DOI: 10.1145/1390156.1390281
BibTex Citekey: 5155
 Degree: -

Event

show
hide
Title: 25th International Conference on Machine Learning (ICML 2008)
Place of Event: Helsinki, Finland
Start-/End Date: 2008-07-05 - 2008-07-08

Legal Case

show

Project information

show

Source 1

show
hide
Title: ICML '08: Proceedings of the 25th international conference on Machine learning
Source Genre: Proceedings
 Creator(s):
Cohen, WW, Editor
McCallum, A, Editor
Roweis, ST, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 992 - 999 Identifier: ISBN: 978-1-60558-205-4