machine-learning - 研究论文有监督学习和无监督学习的定义

Question

已结束。此问题正在寻求书籍、工具、软件库等的推荐。它不满足 Stack Overflow guidelines 。目前不接受答案。

---

我们不允许提出寻求书籍、工具、软件库等推荐的问题。您可以编辑问题，以便用事实和引文来回答。

去年关闭。

Improve this question

我正在寻找一些研究论文或书籍，它们对监督学习和无监督学习有很好的基本定义。这样我就可以在我的项目中引用这些定义。

非常感谢。

Answer 1

我会引用以下书籍:《人工智能:现代方法(第三版)》第三版，作者:Stuart Russell 和 Peter Norvig。第 18 章和第 693 页及后续内容对监督学习和无监督学习进行了更详细的分析。关于无监督学习:

In unsupervised learning, the agent learns patterns in the input even though no explicit feedback is supplied. The most common unsupervised learning task is clustering: detecting potentially useful clusters of input examples. For example, a taxi agent might gradually develop a concept of “good traffic days” and “bad traffic days” without ever being given labeled examples of each by a teacher

在监督期间:

In supervised learning, the agent observes some example input–output pairs and learns a function that maps from input to output. In component 1 above, the inputs are percepts and the output are provided by a teacher who says “Brake!” or “Turn left.” In component 2, the inputs are camera images and the outputs again come from a teacher who says “that’s a bus.” In 3, the theory of braking is a function from states and braking actions to stopping distance in feet. In this case the output value is available directly from the agent’s percepts (after the fact); the environment is the teacher.

The examples are mentioned in the text above.