理学 统计学习 释 overfitting 过拟合 在模型拟合数据的过程中，统计模型使用的参数过多，从而导致模型对观测数据过度拟合，以至于在训练数据上拟合表现较好，但是该模型预测能力通常较差的现象。
人工智能 机器学习 释文 overfitting 过拟合
- Howard Saul Becker
- Howard S.Becker
- Howard Schatz
- Howard Thomas Odum
- Howard Walter Florey
- Howard Wilson Emmons
- How Art Museum
- How Earth Made Us
- How Green Was My Valley
- How I Learned to Drive
- Howl
- howlback
- howling
- howling suppression
- Howl's Moving Castle
- How number
- How People Learn: Brain, Mind, Experience and School
- How resistance
- How Students Learn: History, Mathematics, and Science in the Classroom
- How to Act
- How to be an official on the Bamboo Slips of the Qin Dynasty
- How to Use the Kodak
- How to Write History
- How Yukong Moved the Mountains
- HOx cycles