基于CIDIM的多分类和分层学习系统

IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence Pub Date : 2006-12-11 DOI:10.4114/IA.V10I29.877

Gonzalo Ramos Jimenez, J. C. Ávila, Rafael Morales Bueno

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引用次数: 0

摘要

本文提出了两个基于CIDIM的多分类器系统。我们还描述了一种分层学习方法，该方法使用CIDIM作为基本分类器。CIDIM (Control of Induction by sample Division Method)是一种用于诱导精确和小的决策树的算法，它试图通过局部控制诱导来减少过拟合。我们提出的多分类器系统(M-CIDIM和E-CIDIM)利用了CIDIM的特征，但是已经开发的方法可以扩展到具有相同特征的任何其他算法。

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Sistemas multiclasificadores y de aprendizaje por capas basados en CIDIM

In this paper we present two multiple classifier systems based on CIDIM. We also describe a layered learning approach that we have particularized using CIDIM as the basic classifier. CIDIM (Control of Induction by sample Division Method) is an algorithm that have been developed to induce accurate and small decision trees and to do this, it tries to reduce the overfitting using a local control of induction. The multiple classifier systems that we present (M-CIDIM and E-CIDIM) take advantage of the characteristics of CIDIM, but the approaches that have been developed can be extended to any other algorithm that shares the same characteristics.

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来源期刊

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.