我不是英雄,我是反派。
A mathematician's work is never done; there are always new questions to explore and new mysteries to uncover.
In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.