English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. Item Summary / 
  2. View item

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Learning and inference with positive definite kernels

Schölkopf, B. (2010). Learning and inference with positive definite kernels. Talk presented at 34th Annual South African Symposium on Numerical and Applied Mathematics (SANUM 2010). Stellenbosch, South Africa. 2010-03-15 - 2010-03-17.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0002-B155-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-B156-5
Genre: Talk

Files

show Files

Locators

show
hide
Locator:
http://sanum.github.io/files/sanum2010.pdf (Abstract)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
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: Kernel methods have become one of the most widely used techniques in the field of machine learning. I will present my thoughts on what made them popular and where things are heading. I will discuss some recent developments for two-sample and independence testing as well as applications in different domains.

Details

show
hide
Language(s):
 Dates: 2010-03-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
Title: 34th Annual South African Symposium on Numerical and Applied Mathematics (SANUM 2010)
Place of Event: Stellenbosch, South Africa
Start-/End Date: 2010-03-15 - 2010-03-17
Invited: Yes

Legal Case

show

Project information

show

Source 1

show
hide
Title: 34th Annual South African Symposium on Numerical and Applied Mathematics (SANUM 2010)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 6 Identifier: -