On Wed, Jan 18, 2012 at 11:28:52AM +0100, Lars Buitinck wrote: > 2012/1/18 Andreas <[email protected]>: > > - Structured SVM / CRF learning > > This is a big one. Not sure what other people think of it. > > I think having a structured SVM would be great.
> +100 on this one... For this, do we need to have our own SVM solver? This is a naive question, I have never looked at structured SVM. This seems to me as a fairly challenging project. > One more thing one my wishlist is semisupervised meta-algorithms, like > self-training, co-training, co-boosting. These should not be > incredibly hard to implement, but they're still far from trivial. Yes, I think that having a good semi-supervised codebase (including model selection) would be a interesting project. What I like about it, is that it seems to me as having a gradual difficulty. Of course, other suggestions are welcome. Maybe we should start a wiki page. Gael ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! 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-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
