Relevant subtask learning by constrained mixture models
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski · Intelligent Data Analysis · 2010
We introduce relevant subtask learning, a new learning problem which is a variant of multi-task learning. The goal is to build a classifier for a task-of-interest for which we have too few training samples. We additionally have “supplementary data” c