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
- variance-covariance propagation law
- variance estimation
- variance functon
- variance inflation factor
- variance matrix
- variance of an estimator
- variance of a probability distribution
- variance of a random variable
- variance of unit weight
- variance per unit weight
- variance ratio
- variance ratio test
- variance reduction
- Variance-sociolinguistics（Variation socialinguistics, Variationist socialinguistics）
- variance-stabilizing transformation
- variance swap
- variance test
- variance within classes
- variance within laboratory
- variant
- variant angina pectoris
- variant characters
- variant design
- Variant Dictionary (Taiwan Region of China)
- variant forms of term