所谓的监督式学习就是为算法提供学习的例子。
The idea of supervised learning is to provide examples for an algorithm to learn from.
我们需要将监督式和非监督式学习更紧密地结合起来。
We need to use more of a combination of supervised and unsupervised learning.
提出一种基于变形和监督式学习的三维表情生成方法。
A 3d expression generating method based on morphing and supervised learning is introduced.
这个课程的重点将放在与统计学习理论架构中有关的监督式学习问题。
The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory.
当程序接受了用数千张图片进行的无监督式学习训练后，它们无法解决这个问题。
When programs were given unsupervised training with thousands of images, they could not solve the problem.
也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
这是机器学习研究的一个非常活跃的领域，但目前研究的进展与监督式学习还是不能比拟的。
That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
非监督式学习方法将让计算机读取网页上无数个单词，拼写正确的新词从错误单词中筛选出来。
An unsupervised approach would have the computer read billions of Web pages and sort the correctly spelled new terms from the typos.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
十年前，人们认为监督式学习是实现它的方法：一组语言学家造出字典，语法规则，然后，把它们教给计算机。
A decade ago, it was thought that supervised learning was the way to do this: a team of linguists created dictionaries and grammar rules and taught them to the computer.
你从小就会观察世界，但偶尔你也会得到一些监督式学习的信号，比如有人会告诉你：“那是一只长颈鹿”或“那是一辆小汽车”。
You're a small child and you observe the world, but occasionally you get a supervised signal where someone would say, "That's a giraffe" or "That's a car.
也就是说，无监督式学习指的是一个人通过观察和感知进行的学习，如果计算机也能自行进行观察和感知，就能帮助我们解决更复杂的问题了?。
So unsupervised learning refers to how one learns from observation and perception, and if computers could observe and perceive on their own that could help solve more complex problems?
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classic BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classical BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
人类的学习有大量内容来自无监督式的学习，也就是说，你只是在观察周围的世界，理解事物的道理。
A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how things behave.
人类的学习有大量内容来自无监督式的学习，也就是说，你只是在观察周围的世界，理解事物的道理。
A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how things behave.
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