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... > Designing the interface is also non-trivial. Indeed. I suspect different APIs would be needed for different cases (linear-chain case, tree case, general case). Having just one of these would be great, but I agree this might be a *big* 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. -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ 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
