在机器学习中，特征学习或表征学习是学习一个特征的技术的集合：将原始数据转换成为能够被机器学习来有效开发的一种形式。它避免了手动提取特征的麻烦，允许计算机学习使用特征的同时，也学习如何提取特征：学习如何学习。
Hertz - Picciotto是这两项研究(基因和环境致病儿童孤独症charge，婴儿早期学习中的孤独症表征MARBLES)的主要投资人。
Hertz-Picciotto is the principal investigator on the CHARGE (Childhood Autism Risk from Genetics and the Environment) and MARBLES (Markers of Autism Risk in Babies-Learning Early Signs) studies.
研究对象应该是可观察的行为而不是内部思想过程。特别地，学习由行为的变化表征。
Observable behavior rather than internal thought processes are the focus of study. In particular, learning is manifested by a change in behavior.
同时对照学习优秀儿童的问题表征，探索学习障碍儿童数学问题解决的表征特点和类型。
We also seek after the characteristics and types of the representations of mathematical problem-solving of children with learning disability by contrast that of excellent children.
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