理学 学习理论 释 no free lunch theorem 没有免费午餐定理 简称NFL定理，指在没有任何先验情况下，即任何情况都可能存在的情形下，无论两种学习算法有多大的差异，它们的期望性能是相同的[1-2]。
人工智能 机器学习 释文 no free lunch theorem 没有免费午餐定理
- Sharda Sahayak Water Diversion Project
- share
- share-based cooperative system
- sharebon
- share capital
- shared and unique structure-plot
- shared attention
- shared cache
- shared cataloguing
- shared development
- shared disk multiprocessor system
- shared everything multiprocessor system
- shared executive system
- shared innovation
- shared knowledge
- shared leadership
- shared lock
- shared memory
- shared-memory architecture
- shared memory multiprocessor system
- shared mental models (SMM)
- shared mental models，SMMs
- shared mobility services
- shared mutual floor area
- shared-nothing architecture