理学 学习理论 释 PAC learning PAC学习 PAC (Probably Approximately Correct)学习，中文翻译为概率近似正确学习，是计算学习理论中最重要的研究内容之一，由图灵奖得主Valiant [1]于1984年首先提出的学习框架。PAC学习给出了一种数学形式化刻画机器学习的框架，基于此框架，很多学习问题得以从理论上进一步探讨，如什么样的学习任务是可以学习的。
人工智能 机器学习 释文 probably approximately correct learning 概率近似正确学习
- permanence of algebraic form
- permanence of mathematical relations principle
- permanence relation
- permanency
- permanent
- permanent atrial fibrillation
- permanent bench mark
- permanent calendar
- permanent cardiac pacemaker
- permanent cathode process
- permanent chemical modifier
- permanent computation
- Permanent Conference of Political Parties in Latin America
- Permanent Court of International Justice
- permanent current
- permanent deformation
- permanent dipole
- permanent display
- permanent display at Shanghai Museum
- permanent exhibition
- Permanent Exhibition at Northeast Museum
- permanent exhibition hall
- permanent ferrites
- permanent filling materials and concerned materials
- permanent grazing land