在计算学习的背景下，“可能近似正确”（PAC）学习的概念为理解学习算法的效率和可行性提供了一个框架。
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.
Every discovery in physics opens the door to a new mystery.
Successful people maintain a positive focus in life no matter what is going on around them.
人心的差异，就像人的面孔一样各不相同。
The concept of NP-completeness has provided a powerful tool for understanding the complexity of computational problems.