Description Details Author(s) References See Also Examples
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>.
Package: | medSTC |
Type: | Package |
Version: | 1.0.0 |
Date: | 2013-1-15 |
License: | GPL |
LazyLoad: | yes |
Jun Zhu (junzhu@cs.cmu.edu), Aykut Firat (aykut@crimsonhexagon.com)
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
Functions to fit models:
medSTC
Functions for prediction:
predict.medSTC
Included data sets:
newsgroups
1 2 | ## See the demo for the newsgroup example:
## Not run: demo(medSTC)
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