A computational theory of learning from examples, extension matrix theory, is presented.
本文提出示例学习的一种计算理论，扩张矩阵论。
A Boolean function minimization system based on learning from examples called SWT is introduced in this paper.
本文介绍一个用示例学习方法极小化布尔函数的系统SWT。
Up to now, some heuristic algorithms have been proposed for learning from examples based on extension matrix theory.
到目前为止，一些启发式算法被提出用于基于扩张矩阵理论的示例学习研究。
The incompleteness of information about objects may be the greatest obstacle to performing inductive learning from examples.
对象信息的不完备性是从实例中归纳学习的最大障碍。
The abstract channel model for learning from examples is presented and a new attribute selection measure (channel capacity) is introduced.
本文提出了示例学习的抽象信道模型，引入一个新的特征选择量——信道容量。
By the method of learning from examples, DKAS inductively acquires knowledge, in representation of decision trees, from large amount of experience data.
DKAS系统采用示例式学习方法，从大量经验数据归纳获取知识，知识表示为决策树形式。
We introduce and motivate the main theme of the course, setting the problem of learning from examples as the problem of approximating a multivariate function from sparse data.
我们引出本课程的主题，把从样例中学习的问题转化成从稀疏资料中逼近多变数函数的问题。
We introduce and motivate the main theme of the course, setting the problem of learning from examples as the problem of approximating a multivariate function from sparse data.
我们引出本课程的主题，把从样例中学习的问题转化成从稀疏资料中逼近多变数函数的问题。
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