English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Kernel extrapolation

Vishwanathan, S., Borgwardt, K., Guttman, O., & Smola, A. (2006). Kernel extrapolation. Neurocomputing, 69(7-9), 721-729. doi:10.1016/j.neucom.2005.12.113.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D263-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-8698-9
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Vishwanathan, SVN, Author
Borgwardt, KM1, Author              
Guttman, O, Author
Smola, AJ1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled method to combine many of these kernels and then extrapolate them. Central to our method is a theorem for matrix approximation, and an extension of the representer theorem to handle multiple joint regularization constraints. Experiments in protein classification demonstrate the feasibility of our approach.

Details

show
hide
Language(s):
 Dates: 2006-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.neucom.2005.12.113
BibTex Citekey: VishwanathanBGS2006
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Neurocomputing
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 69 (7-9) Sequence Number: - Start / End Page: 721 - 729 Identifier: ISSN: 0925-2312
CoNE: https://pure.mpg.de/cone/journals/resource/954925566733