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
- two-disk phosphoroscope
- two-D NMR logging
- Two Dramatic Works of Li Ciming
- two-drift hypothesis
- two-ears theorem
- two electrode system
- two-electrode system
- two electron transfer
- two-electron transfer
- two element design
- two-element interferometer
- two-element intersection structural theory
- two-element radio interferometer
- two-element set
- two energy level system
- two energy-level system
- two-entrance dramatic stage
- two-equations eddy viscosity models
- two-expansion cycle
- two-factor analysis of variance
- two-factor certification
- two-factor experiment
- two-factor model
- two-factor scheme
- two factors theory