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.
在計算學(xué)習(xí)的背景下，“可能近似正確”（PAC）學(xué)習(xí)的概念為理解學(xué)習(xí)算法的效率和可行性提供了一個框架。
研究漲落對于理解系統(tǒng)在平衡附近的行為至關(guān)重要。
未來屬于那些能將限制轉(zhuǎn)化為創(chuàng)造性機會的人。
"The world is a book, and those who do not travel read only one page."