基于自适应FSA的决策树归纳

CLEI Electron. J. Pub Date : 2018-09-12 DOI:10.19153/cleiej.6.1.4

H. Pistori, J. J. Neto

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引用次数: 10

摘要

本文介绍了一种基于自适应技术的决策树归纳新算法。该算法的一个主要特点是将自动机理论应用于决策树归纳问题的形式化，并使用了一种混合方法，该方法将语法策略和统计策略相结合。一些实验结果也表明，自适应方法在构建高效的学习算法方面是有用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Decision Tree Induction using Adaptive FSA

This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a hybrid approach, which integrates both syntactical and statistical strategies. Some experimental results are also pre- sented indicating that the adaptive approach is useful in the construction of efficient learning algorithms.

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CLEI Electron. J.

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