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.
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。
你透露得越少，人们就越会好奇。
作家是一个生活在边缘的存在，用批判的眼光观察世界。
In the end, the value of a theory is not in its complexity, but in its ability to explain and predict.
