Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

Posts Tagged ‘Machine Teaching


Great Innovative Idea- Machine Teaching

May 5th, 2015 / in CCC, Research News / by Helen Wright

The following Great Innovative Idea is from Dr. Xiaojin (Jerry) Zhu, Associate Professor of Computer Science at University of Wisconsin-Madison. Zhu’s paper Machine Teaching: an Inverse Problem to Machine Learning and an Approach Toward Optimal Education won the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Conference Track series at the 29th Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence (AAAI-15), January 25-30, 2015 in Austin, Texas. The Innovative Idea Machine teaching is machine learning turned upside down: it is about finding the optimal (e.g. the smallest) training set.  For example, consider a “student” who runs the Support Vector Machine learning algorithm.  Imagine a teacher who wants to teach the student a specific target hyperplane in some […]