Using a Genetic Algorithm to optimize a stacking ensemble in data streaming scenarios

IF 1.4 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

AI Communications Pub Date : 2020-08-05 DOI:10.3233/aic-200648

Diogo Ramos, Davide Carneiro, P. Novais

引用次数: 3

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使用遗传算法优化数据流场景下的堆叠集成

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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来源期刊

AI Communications 工程技术-计算机：人工智能

CiteScore

2.30

自引率

12.50%

发文量

审稿时长

4.5 months

期刊介绍： AI Communications is a journal on artificial intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: Scientific institutions as well as commercial and industrial companies. AI Communications aims to enhance contacts and information exchange between AI researchers and developers, and to provide supranational information to those concerned with AI and advanced information processing. AI Communications publishes refereed articles concerning scientific and technical AI procedures, provided they are of sufficient interest to a large readership of both scientific and practical background. In addition it contains high-level background material, both at the technical level as well as the level of opinions, policies and news.