Tag Archive: machine learning

Cyber-Social Learning Systems Workshop 3

Over the last decade, we have made enormous progress establishing scientific and engineering principles for cyber-physical systems (CPS). The next major frontier in science and engineering research and development, is the integration of cyber-physical with human and social systems and phenomena at all scales. Closing the loop from sensing to performance at all scales will give rise to cyber-social learning systems. This is part of a workshop series – view the series page.

Cyber-Social Learning Systems Workshop 2

Over the last decade, we have made enormous progress establishing scientific and engineering principles for cyber-physical systems (CPS). The next major frontier in science and engineering research and development, is the integration of cyber-physical with human and social systems and phenomena at all scales. Closing the loop from sensing to performance at all scales will give rise to cyber-social learning systems. This is part of a workshop series – view the series page.
Jerry Zhu giving a lecture.

Machine Teaching

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 feature space (never mind how the teacher got this hyperplane in the first place). The teacher constructs a training set D=(x1,y1) … (xn, yn), where xi is a feature vector and yi a class label, to train the student. What is the smallest training set that will make the student learn the target hyperplane?