CRFsuite is a very fast implmentation of the Conditional Random Fields (CRF) AlgorIThm. It handles tens of thousands sentences in merely one second.
In comparison to CRF++, CRFSuite yields substantially better efficiency performance
AdaBoost, Adaptive Boosting, is a well-known meta machine learning AlgorIThm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) AlgorIThm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
AdaBoost, Adaptive Boosting, is a well-known meta machine learning AlgorIThm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
