Focused Learning in Graphical Models
When there is insufficient data to learn a globally accurate model, successful learning can still be possible if we take into account the particular task for which the learned model will be employed. Learning a possibly incorrect or incomplete model, which performs well in the subsequent prediction (classication or decision …