readme

The program implements three large-margin thresholded ensemble algorithms for ordinal regression. I

The program implements three large-margin thresholded ensemble
algorithms for ordinal regression. It includes an improved RankBoost
algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm. 
Details can be found in

H.-T. Lin and L. Li.  Large-Margin Thresholded Ensembles for 
Ordinal Regression: Theory and Practice. In J. Balcazar et al., eds., 
Algorithmic Learning Theory: ALT '06, vol. 4264 of Lecture Notes in 
Artificial Intelligence, 319-333, Springer-Verlag. Barcelona, Spain, 2006.

===Installation===
The program needs to be linked to the LEMGA library by Ling Li. LEMGA
can be downloaded at

http://www.work.caltech.edu/ling/lemga/index.html

The Makefile entry "LEMGA" should be modified for correct linking. 
The program has been tested to work with the 2006/05/16 snapshot of LEMGA.

===Copyright Disclaimer===
Copyright (c) 2006-2007 Hsuan-Tien Lin (htlin at caltech.edu)
All rights reserved. Redistribution and use in source and binary forms, 
with or without modification, are only permitted for non-commercial purposes. 
The author takes no responsibility on damages or other problems caused.