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
- asymptotic normal distribution
- asymptotic normal estimate
- asymptotic normality
- asymptotic notation
- asymptotic optimality
- asymptotic orbit
- asymptotic order
- asymptotic parameter
- asymptotic path
- asymptotic period
- asymptotic perturbation theory
- asymptotic phi-density
- asymptotic plane
- asymptotic point
- asymptotic polygon
- asymptotic power series
- asymptotic property
- asymptotic quantum number
- asymptotic rate
- asymptotic rate of convergence
- asymptotic ratio set
- asymptotic relation
- asymptotic relative efficiency
- asymptotic representation
- asymptotic resolvent