理学 集成学习 释 ensemble learning 集成学习 通过结合多个学习器来解决问题的一种机器学习范式。其常见形式是利用一个基学习算法从训练集产生多个基学习器，然后通过投票等机制将基学习器进行结合。代表性方法包括Boosting、Bagging等。又称多分类器系统、基于委员会的学习等。
人工智能 机器学习 释文 ensemble learning 集成学习
- axiomatized theory
- axiom A vector field
- axiom D
- axiom for equilibrium of two forces
- axiom of abstraction
- axiom of accessibility
- axiom of choice
- axiom of choice (AC)
- axiom of closure
- axiom of complete induction
- axiom of completeness
- axiom of comprehension
- axiom of congruence
- axiom of connection
- axiom of constructibility
- axiom of constructivity
- axiom of continuity
- axiom of countability
- axiom of countable choice
- axiom of denumerability
- axiom of dependent choice
- axiom of determinacy
- axiom of determinacy (AD)
- axiom of domination
- axiom of elementary sets