On 01/23/2012 11:34 AM, Olivier Grisel wrote:
2012/1/23 Andreas<[email protected]>:
On 01/23/2012 11:28 AM, Adrien wrote:
Hello everyone,
A quick question: why not use Nystrom instead?
That was on my GSoC wish list ;)
The application I had in mind at the moment was
the label propagation and maybe the spectral clustering.
In general, I think the thresholding would work
whenever rbf is used as similarity measure.
For kernel methods, we definitely want the Nystrom method :)
I had never heard of it before. I learn new stuff every day on this
list. Any other reference your recommend or is the 2004 paper by
Fowlkes at al still the state of the art?
For SVM applications, this one is interesting:
Approximate Stochastic Subgradient Estimation Training for Support
Vector Machines <http://arxiv.org/abs/1111.0432>
http://arxiv.org/pdf/1111.0432
------------------------------------------------------------------------------
Try before you buy = See our experts in action!
The most comprehensive online learning library for Microsoft developers
is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3,
Metro Style Apps, more. Free future releases when you subscribe now!
http://p.sf.net/sfu/learndevnow-dev2
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
