2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields
AISTATS 2015poster
Conditional random fields (CRFs) are an important class of models for accurate structured prediction, but effective design of the feature functions is a major challenge when applying CRF models to real world data. Gradient boosting, which is used to automatically induce and select feature functions,…