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
- radar observation
- Radar Ocean Reconnaissance Satellite
- radar passive jamming technique
- radar ranging
- radar receiver
- radar receiver noise
- radar remote sensing
- radar resolution
- radar responder
- Radarsat
- radar satellite
- radar scatterometer
- radar seeker
- radar servomechanism
- radar servo system
- radar signal detection and information extraction
- radar signal direction finding
- radar signal frequency measurement
- radar signal processor
- radar signal sorting
- radar simulation
- radar stage recorder
- radar station
- radar survey
- radar target detection