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
- covariant wave equations
- covariate-adaptive randomization
- covariate-adjusted response-adaptive randomization
- covariate imbalance
- covariate measure error
- covariation
- covaseal
- covector
- covellite
- covenant
- Covenanters
- Covenant of Union of Central America
- covenant texts
- covenant theology
- Coventry
- cover
- coverability
- coverability graph
- coverability tree
- coverage
- coverage criteria
- coverage factor
- coverage function
- coverage of urban park service radius
- coverage on the Lincheng Outrage