During the last 50 years, a strong machine learning theory has been developed. The common observation is that human students require much less examples for training than a learning machine. Why? Prof. Vladimir Vapnik explains:
“that it is because the human students have an intelligent teacher and that teacher-student interactions are based not only on the brute force methods of function estimation from observations. Speed of learning is also based on teacher-student interactions which have additional mechanisms that boost the learning process. To learn from a smaller number of observations, the learning machine has to use these mechanisms.”
In his talk Prof. Vapnik introduces a model of learning that includes the so-called Intelligent Teacher who during training session supplies the Student with intelligent (privileged) information, in contrast to the classical model where the student is given only outcomes y for events x.