Machine Teaching

Machine teaching is the inverse problem to machine learning. The objective is to build the input training data when a learning algorithm and desired outputs are given. In essence, this is similar to how human teachers construct lesson plan and exercises to obtain desired learning in their students. The primary focus of the machine teaching is to build training data set that is optimal in some sense.

References

• Zhu, Xiaojin (2015). "Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education" (PDF). AAAI: 4083–4087. 
• Machine Teaching Group at Microsoft Research
• Weimer, Markus (2010). "Machine Teaching--A Machine Learning Approach to Technology Enhanced Learning [Ph.D. Thesis]". Technische Universität, Darmstadt. 
• Machine Teaching