性能的关键在于优雅,而不是大量的特殊情况。
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 ton of coal we extract carries equal weight in responsibility.