R: Max-margin supervised Sparse Topical Coding model (Med-STC)
medSTC-package
R Documentation
Max-margin supervised Sparse Topical Coding model (Med-STC)
Description
This package employs sparse topical coding models for multi-class classification
developed by Jun Zhu and Eric P. Xing. The package uses a fast C implementation of SVM,
SVMlight (http://svmlight.joachims.org/), developed by Thorsten Joachims <thorsten@joachims.org>.
Jun Zhu, and Eric P. Xing.
Sparse Topical Coding,
In Proc. of 27th Conference on Uncertainty in
Artificial Intelligence (UAI), Barcelona, Spain, 2011.
T. Joachims, Making large-Scale SVM Learning
Practical. Advances in Kernel Methods - Support Vector
Learning, B. Scholkopf and C. Burges and A. Smola (ed.),
MIT-Press, 1999.
http://www-ai.cs.uni-dortmund.de/DOKUMENTE/joachims_99a.pdf
See Also
Functions to fit models:
medSTC
Functions for prediction:
predict.medSTC
Included data sets:
newsgroups
Examples
## See the demo for the newsgroup example:
## Not run: demo(medSTC)