kernel是什么意思_kernel怎么读_kernel翻译_用法_英译汉

听听怎么读

英 [ˈkɜ:nl]

美 [ˈkɜrnl]

是什么意思

n.

核心；要点；谷粒；核

v.

把…包在核内；

变形

复数：kernels

英英释义

kernel[ 'kə:nəl ]

n.
- the inner and usually edible part of a seed or grain or nut or fruit stone
  "black walnut kernels are difficult to get out of the shell"
  同义词：meat
- a single whole grain of a cereal
  "a kernel of corn"
- the choicest or most essential or most vital part of some idea or experience
  同义词：substancecorecenteressencegistheartheart and soulinwardnessmarrowmeatnubpithsumnitty-gritty

学习怎么用

词组短语

kernel function[数]核函数

walnut kernel核桃仁

kernel mode[计]核心态

apricot kernel杏仁；杏核油

palm kernel棕榈仁；棕仁

palm kernel oil棕榈仁油；棕榈坚果油

apricot kernel oil杏仁油

更多收起词组短语

双语例句

用作名词(n.)

We must get at the kernel of the problem.
我们必须抓住问题的核心。
Are kernels of apricots edible?
杏仁能吃吗？
The monitoring center is the kernel part of a home-oriented telemonitoring system.Its performance has influence on the tele-monitoring system definitively.
本文开发的中心监护站软件是远程家庭多生理参数监护系统的重要组成部分，其性能直接关系到远程监护系统的总体性能。
Mathematical thought and method is the kernel of mathematical knowledge.
数学思想方法是数学知识的精髓。

权威例句

Nonlinear component analysis as a kernel eigenvalue problem
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Preface
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Notation
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: References
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Frontmatter
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Optimisation Theory
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Generalisation Theory
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Background Mathematics
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Linear Learning Machines
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods: Kernel-Induced Feature Spaces