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
- myelinization
- myelin oligodendroglia glycoprotein
- myelin sheath
- myelitis
- myeloablative conditioning
- myeloblast
- myelocyte
- myelodysplastic symdrome
- myelodysplastic syndromes
- myelofibrosis
- myeloid cell
- myeloid-derived suppressor cell，MDSC
- myeloid sarcoma
- myeloid tissue
- myeloma
- myelopathy
- myeloperoxidase
- myeloproliferative disorder
- myeloproliferative neoplasms
- myelosclerosis
- Myers-Briggs type indicator
- Myers-Scotton, Carol
- Myers theorem
- My Exploration and Pursuit
- My Fair Lady