mloss.org Graph Learning Packagehttp://mloss.orgUpdates and additions to Graph Learning PackageenMon, 04 May 2009 17:07:15 -0000Graph Learning Package 0.1http://mloss.org/software/view/184/<html><p>This software is aimed at performing supervised/unsupervised learning on graph data, where each graph is represented as binary indicators of subgraph features. Basic graph mining algorithm is gSpan, and learning algorithms include Boosting, PLS, PCA. Please refer to the corresponding papers. The graph data are available from http://www.mpi-inf.mpg.de/~hiroto/ChemGraphData-1.0.tar.gz </p></html>hiroto saigo, taku kudo, koji tsudaMon, 04 May 2009 17:07:15 -0000http://mloss.org/software/rss/comments/184http://mloss.org/software/view/184/graphclassificationregressionboostingpcagspanpls<b>Comment by Hiroto Saigo on 2009-05-01 18:11</b>http://mloss.org/comments/cr/14/184/#c332<p>Feedbacks, suggestions and bug reports are welcome.</p> Hiroto SaigoFri, 01 May 2009 18:11:38 -0000http://mloss.org/comments/cr/14/184/#c332<b>Comment by How I Lost Thirty Pounds in Thirty Days on 2009-05-04 00:22</b>http://mloss.org/comments/cr/14/184/#c335<p>Hi, interesting post. I have been pondering this issue,so thanks for sharing. I will definitely be subscribing to your blog.</p> How I Lost Thirty Pounds in Thirty DaysMon, 04 May 2009 00:22:59 -0000http://mloss.org/comments/cr/14/184/#c335